diff --git a/input/thermo/uncertainty/adsorptionPt111/covariance.npy b/input/thermo/uncertainty/adsorptionPt111/covariance.npy index e8f68a24d0..c0c55ed1a6 100644 Binary files a/input/thermo/uncertainty/adsorptionPt111/covariance.npy and b/input/thermo/uncertainty/adsorptionPt111/covariance.npy differ diff --git a/input/thermo/uncertainty/adsorptionPt111/groups.py b/input/thermo/uncertainty/adsorptionPt111/groups.py index 754813addf..2c111b5db7 100644 --- a/input/thermo/uncertainty/adsorptionPt111/groups.py +++ b/input/thermo/uncertainty/adsorptionPt111/groups.py @@ -10,7 +10,7 @@ """ entry( index = 0, - label = "R*", + label = "RX", group = """ 1 R ux @@ -26,13 +26,13 @@ entry( index = 1, - label = "(OR2)*", + label = "RXbidentate", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 * X u0 p0 c0 +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D,T]} +3 R!H u0 {1,[S,D,T]} {4,[S,D,T]} +4 R!H u0 {2,[S,D,T]} {3,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -44,12 +44,13 @@ entry( index = 2, - label = "O-*R", + label = "CXCX", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D,T]} +3 C u0 {1,[S,D,T]} {4,[S,D,T]} +4 C u0 {2,[S,D,T]} {3,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -61,14 +62,14 @@ entry( index = 3, - label = "(OROR)*", + label = "C#XC-XR", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 R u0 c0 {1,S} -4 R u0 c0 {2,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,S} {3,S} {5,D} +5 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -80,13 +81,15 @@ entry( index = 4, - label = "O*O*", + label = "C#XC-XR2", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} +5 R u0 c0 {4,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -98,13 +101,14 @@ entry( index = 5, - label = "O-*OR", + label = "C#XC=XR", group = """ -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,T} {4,S} +4 C u0 p0 c0 {2,D} {3,S} {5,S} +5 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -116,11 +120,13 @@ entry( index = 6, - label = "O=*", + label = "C-XC-X", group = """ -1 * X u0 p0 c0 {2,D} -2 O u0 p2 c0 {1,D} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,D} +4 C u0 p0 c0 {2,D} {3,D} """, thermo = None, shortDesc = """""", @@ -132,14 +138,16 @@ entry( index = 7, - label = "O-*NR2", + label = "C-XR2C-XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,S} {3,S} {7,D} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -151,15 +159,17 @@ entry( index = 8, - label = "O-*CR3", + label = "C-XR2C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R u0 c0 {4,S} +8 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -171,14 +181,16 @@ entry( index = 9, - label = "(NR3)*", + label = "C-XR2C=XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 C u0 p0 c0 {2,D} {3,S} {7,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} +7 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -190,12 +202,15 @@ entry( index = 10, - label = "N-*R2", + label = "C-XRC-XR", group = """ -1 N u0 p1 c0 {2,S} {3,[S,D]} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,[S,D]} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,D} {5,S} +4 C u0 p0 c0 {2,S} {3,D} {6,S} +5 R u0 c0 {3,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -207,12 +222,14 @@ entry( index = 11, - label = "N=*R", + label = "C-XRC=X", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 * X u0 p0 c0 {1,D} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,D} {5,S} +4 C u0 p0 c0 {2,D} {3,D} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -224,11 +241,15 @@ entry( index = 12, - label = "N#*", + label = "C=XRC-XR", group = """ -1 * X u0 p0 {2,T} -2 N u0 p1 {1,T} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 C u0 p0 c0 {2,S} {3,S} {6,D} +5 R u0 c0 {3,S} +6 R!H u0 c0 {4,D} """, thermo = None, shortDesc = """""", @@ -240,15 +261,15 @@ entry( index = 13, - label = "(NR2OR)*", + label = "C=XRC=XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 C u0 p0 c0 {2,D} {3,S} {6,S} +5 R u0 c0 {3,S} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -260,13 +281,13 @@ entry( index = 14, - label = "(NRO)*", + label = "CXNX", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 O u0 p2 c0 {1,D} -3 R u0 p0 c0 {1,S} -4 * X u0 p0 c0 +1 X u0 p0 c0 {3,[S,D,T]} +2 * X u0 p0 c0 {4,[S,D]} +3 C u0 p0 c0 {1,[S,D,T]} {4,[S,D]} +4 N u0 p1 c0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -278,14 +299,16 @@ entry( index = 15, - label = "N-*ROR", + label = "C-XR2N-XR", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,S} {3,S} {7,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} +7 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -297,12 +320,15 @@ entry( index = 16, - label = "N-*O", + label = "C-XR2N=X", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 * X u0 p0 c0 {1,S} -3 O u0 p2 c0 {1,D} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -314,13 +340,14 @@ entry( index = 17, - label = "N=*O-*", + label = "C-XRN-X", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 R u0 c0 {3,S} +5 N u0 p1 c0 {2,S} {3,D} """, thermo = None, shortDesc = """""", @@ -332,13 +359,15 @@ entry( index = 18, - label = "N=*OR", + label = "C-XRN-XR", group = """ -1 N u0 p1 c0 {2,S} {3,D} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R!H u0 c0 {3,D} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -350,16 +379,14 @@ entry( index = 19, - label = "(NR2NR2)*", + label = "C-XRN=X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} -7 * X u0 p0 c0 +1 X u0 p0 c0 {3,S} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,D} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -371,14 +398,15 @@ entry( index = 20, - label = "(NRNR)*", + label = "C=XRN-XR", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {4,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {2,S} -5 * X u0 p0 c0 +1 X u0 p0 c0 {3,D} +2 * X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -390,15 +418,14 @@ entry( index = 21, - label = "N-*RNR2", + label = "C=XRN=X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} +1 X u0 p0 c0 {3,D} +2 * X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -410,13 +437,13 @@ entry( index = 22, - label = "N-*NR", + label = "CXOX", group = """ -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,S} +3 C u0 {1,[S,D,T]} {4,S} +4 O u0 p2 {2,S} {3,S} """, thermo = None, shortDesc = """""", @@ -428,14 +455,15 @@ entry( index = 23, - label = "N=*NR2", + label = "C-XR2O-X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -447,15 +475,14 @@ entry( index = 24, - label = "N-*RN-*R", + label = "C-XRO-X", group = """ -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 O u0 p2 c0 {2,S} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -467,16 +494,14 @@ entry( index = 25, - label = "N-*RCR3", + label = "C=XRO-X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 * X u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -488,14 +513,13 @@ entry( index = 26, - label = "N-*CR2", + label = "NXCX", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,[S,D,T]} +2 X u0 p0 c0 {4,[S,D]} +3 C u0 p0 c0 {1,[S,D,T]} {4,[S,D]} +4 N u0 p1 c0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -507,15 +531,16 @@ entry( index = 27, - label = "N=*CR3", + label = "inv(C-XR2N-XR)", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,D} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 * X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,S} {3,S} {7,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} +7 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -527,11 +552,15 @@ entry( index = 28, - label = "Cq*", + label = "inv(C-XR2N=X)", group = """ -1 * X u0 p0 c0 {2,Q} -2 C u0 p0 c0 {1,Q} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -543,13 +572,14 @@ entry( index = 29, - label = "C-*C-*", + label = "inv(C-XRN-X)", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 R u0 c0 {3,S} +5 N u0 p1 c0 {2,S} {3,D} """, thermo = None, shortDesc = """""", @@ -561,12 +591,15 @@ entry( index = 30, - label = "C=*(=R)", + label = "inv(C-XRN-XR)", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 * X u0 p0 c0 {1,D} -3 R!H u0 c0 {1,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R!H u0 c0 {3,D} +6 R u0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -578,15 +611,14 @@ entry( index = 31, - label = "C#*CR3", + label = "inv(C-XRN=X)", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,S} {4,S} {5,D} +4 N u0 p1 c0 {2,D} {3,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -598,12 +630,15 @@ entry( index = 32, - label = "C#*R", + label = "inv(C=XRN-XR)", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 * X u0 p0 c0 {1,T} -3 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -615,15 +650,14 @@ entry( index = 33, - label = "C=*RC=*R", + label = "inv(C=XRN=X)", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,D} {6,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,D} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,D} +3 C u0 p0 c0 {1,D} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -635,13 +669,13 @@ entry( index = 34, - label = "C=*R2", + label = "NXNX", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 * X u0 p0 c0 {1,D} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,[S,D]} +2 X u0 p0 c0 {4,[S,D]} +3 N u0 {1,[S,D]} {4,[S,D]} +4 N u0 {2,[S,D]} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -653,17 +687,15 @@ entry( index = 35, - label = "C-*R2C-*R2", + label = "N-XRN-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 N u0 p1 c0 {2,S} {3,S} {6,S} +5 R u0 p0 c0 {3,S} +6 R u0 p0 c0 {4,S} """, thermo = None, shortDesc = """""", @@ -675,14 +707,14 @@ entry( index = 36, - label = "C-*R3", + label = "N-XRN=X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 * X u0 p0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,D} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 N u0 p1 c0 {2,D} {3,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -694,18 +726,13 @@ entry( index = 37, - label = "(CR3CR3)*", + label = "NXOX", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} -9 * X u0 p0 c0 +1 * X u0 p0 c0 {3,[S,D]} +2 X u0 p0 c0 {4,S} +3 N u0 {1,[S,D]} {4,[S,D]} +4 O u0 p2 c0 {2,S} {3,[S,D]} """, thermo = None, shortDesc = """""", @@ -717,15 +744,14 @@ entry( index = 38, - label = "(CR4)*", + label = "N-XRO-X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 R u0 c0 {1,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 N u0 p1 c0 {1,S} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -737,13 +763,14 @@ entry( index = 39, - label = "C=*N-*", + label = "N[+]=XR[-]O-X", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {4,S} +3 N u0 p0 c+1 {1,D} {4,S} {5,S} +4 O u0 p2 c0 {2,S} {3,S} +5 R!H u0 p[1,2,3] c-1 {3,S} """, thermo = None, shortDesc = """""", @@ -755,13 +782,14 @@ entry( index = 40, - label = "C=*(=NR)", + label = "RXbridgedBidentate", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 N u0 p1 c0 {1,D} {4,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {2,S} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,[S,D,T]} +3 R!H ux {1,[S,D,T]} {5,[S,D,T]} +4 R!H ux {2,[S,D,T]} {5,[S,D,T]} +5 R!H ux {3,[S,D,T]} {4,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -773,14 +801,14 @@ entry( index = 41, - label = "C#*NR2", + label = "CXRCX", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 * X u0 p0 c0 {2,T} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,[S,D,T]} +3 C u0 {1,[S,D,T]} {5,[S,D,T]} +4 C u0 {2,[S,D,T]} {5,[S,D,T]} +5 R!H u0 {3,[S,D,T]} {4,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -792,13 +820,14 @@ entry( index = 42, - label = "C#*OR", + label = "C#X-R-C#X", group = """ -1 C u0 p0 c0 {2,S} {3,T} -2 O u0 p2 c0 {1,S} {4,S} -3 * X u0 p0 c0 {1,T} -4 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,T} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,T} {4,S} """, thermo = None, shortDesc = """""", @@ -810,16 +839,16 @@ entry( index = 43, - label = "C-*R2C=*R", + label = "C#X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,D} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,D} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -831,17 +860,15 @@ entry( index = 44, - label = "C-*R2CR3", + label = "C#X-R-C=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,D} {4,S} {6,S} +6 R u0 p0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -853,15 +880,15 @@ entry( index = 45, - label = "(CR2NR)*", + label = "C#X-R=C-XR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {3,T} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,T} {4,S} +4 R!H u0 c0 {3,S} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {6,S} +6 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -873,16 +900,16 @@ entry( index = 46, - label = "C-*R2NR2", + label = "C=X=R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,D} +4 R!H u0 c0 {3,D} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -894,14 +921,18 @@ entry( index = 47, - label = "(CR2O)*", + label = "R2C-X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 O u0 p2 c0 {1,D} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S} +6 R u0 c0 {5,S} +7 R u0 c0 {5,S} +8 R u0 c0 {3,S} +9 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -913,15 +944,14 @@ entry( index = 48, - label = "C-*R2OR", + label = "(OROR)X", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 p0 c0 {2,S} +5 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -933,17 +963,17 @@ entry( index = 49, - label = "(CR3NR2)*", + label = "RC-X=R-C-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 R u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} -8 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 c0 {3,D} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} +8 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -955,16 +985,16 @@ entry( index = 50, - label = "(CR3OR)*", + label = "RC-X=R=C-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} -7 * X u0 p0 c0 +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 p0 c0 {3,D} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -976,14 +1006,15 @@ entry( index = 51, - label = "C-*RC=*", + label = "RC-X=R=C=X", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 p0 c0 {3,D} {5,D} +5 C u0 p0 c0 {2,D} {4,D} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -995,15 +1026,17 @@ entry( index = 52, - label = "C-*RCR2", + label = "RC=X-R-C-XR2", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} +8 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1015,16 +1048,16 @@ entry( index = 53, - label = "C=*RCR3", + label = "RC=X-R-C=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,D} {7,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,D} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,D} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,S} +5 C u0 p0 c0 {2,D} {4,S} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1036,13 +1069,16 @@ entry( index = 54, - label = "(CRN)*", + label = "RC=X-R=C-XR", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 N u0 p1 c0 {1,T} -3 R u0 p0 c0 {1,S} -4 * X u0 p0 c0 +1 * X u0 p0 c0 {3,D} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,D} {4,S} {6,S} +4 R!H u0 c0 {3,S} {5,D} +5 C u0 p0 c0 {2,S} {4,D} {7,S} +6 R u0 c0 {3,S} +7 R u0 c0 {5,S} """, thermo = None, shortDesc = """""", @@ -1054,14 +1090,14 @@ entry( index = 55, - label = "C=*RN=*", + label = "CXROX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 {3,[S,D,T]} +2 X u0 {4,S} +3 C u0 {1,[S,D,T]} {5,[S,D,T]} +4 O u0 p2 {2,S} {5,S} +5 R!H u0 {3,[S,D,T]} {4,S} """, thermo = None, shortDesc = """""", @@ -1073,14 +1109,15 @@ entry( index = 56, - label = "C-*RNR", + label = "RC-X=R-O-X", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 N u0 p1 c0 {1,D} {5,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 C u0 p0 c0 {1,S} {4,D} {6,S} +4 R!H u0 c0 {3,D} {5,S} +5 O u0 p2 c0 {2,S} {4,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1092,15 +1129,14 @@ entry( index = 57, - label = "C=*RN-*R", + label = "OXROX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} -5 R u0 p0 c0 {1,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {4,S} +3 O u0 p2 c0 {1,S} {5,S} +4 O u0 p2 c0 {2,S} {5,S} +5 R!H u0 c0 {3,S} {4,S} """, thermo = None, shortDesc = """""", @@ -1112,15 +1148,14 @@ entry( index = 58, - label = "C=*RNR2", + label = "O-X-C-O-X", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} -3 * X u0 p0 c0 {1,D} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {2,S} -6 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,S} +2 X u0 p0 c0 {5,S} +3 O u0 p2 c0 {1,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} +5 O u0 p2 c0 {2,S} {4,S} """, thermo = None, shortDesc = """""", @@ -1132,13 +1167,11 @@ entry( index = 59, - label = "C-*RO", + label = "RXsingleChemisorbed", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 * X u0 p0 c0 {1,S} -3 O u0 p2 c0 {1,D} -4 R u0 c0 {1,S} +1 * X u0 {2,[S,D,T,Q]} +2 R ux {1,[S,D,T,Q]} """, thermo = None, shortDesc = """""", @@ -1150,14 +1183,11 @@ entry( index = 60, - label = "C=*RO-*", + label = "CX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 X u0 p0 c0 {2,S} +1 * X u0 {2,[S,D,T,Q]} +2 C ux {1,[S,D,T,Q]} """, thermo = None, shortDesc = """""", @@ -1169,14 +1199,12 @@ entry( index = 61, - label = "C=*ROR", + label = "C#XR", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 O u0 p2 c0 {1,S} {5,S} -3 * X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1188,11 +1216,14 @@ entry( index = 62, - label = "C*", + label = "C#XCR2", group = """ -1 * X u0 {2,[S,D,T,Q]} -2 C ux {1,[S,D,T,Q]} +1 * X u0 p0 c0 {3,T} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 C u0 p0 c0 {1,T} {2,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1204,11 +1235,15 @@ entry( index = 63, - label = "N*", + label = "C#XCR3", group = """ -1 * X u0 {2,[S,D,T]} -2 N ux {1,[S,D,T]} +1 * X u0 p0 c0 {3,T} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,T} {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1220,11 +1255,12 @@ entry( index = 64, - label = "O*", + label = "C#XN", group = """ -1 * X u0 {2,[S,D]} -2 O ux {1,[S,D]} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 N u0 p1 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1236,11 +1272,13 @@ entry( index = 65, - label = "R*single-chemisorbed", + label = "C#XOR", group = """ -1 * X u0 {2,[S,D,T,Q]} -2 R ux {1,[S,D,T,Q]} +1 * X u0 p0 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1252,13 +1290,13 @@ entry( index = 66, - label = "C*C*", + label = "C-XR2", group = """ -1 C u0 {2,[S,D,T]} {3,[S,D,T]} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 R!H u0 c0 {2,D} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1270,13 +1308,15 @@ entry( index = 67, - label = "C*N*", + label = "C-XRCR2", group = """ -1 C u0 {2,[S,D,T]} {3,[S,D]} -2 N u0 {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1288,13 +1328,13 @@ entry( index = 68, - label = "C*O*", + label = "C-XRN", group = """ -1 C u0 {2,S} {3,[S,D,T]} -2 O u0 p2 {1,S} {4,S} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,S} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} +4 R!H u0 p[1,2,3] c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1306,13 +1346,14 @@ entry( index = 69, - label = "N*N*", + label = "C-XRNR", group = """ -1 N u0 {2,[S,D]} {3,[S,D]} -2 N u0 {1,[S,D]} {4,[S,D]} -3 * X u0 {1,[S,D]} -4 X u0 {2,[S,D]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 N u0 p1 c0 {2,D} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1324,13 +1365,13 @@ entry( index = 70, - label = "R*bidentate", + label = "C-XRO", group = """ -1 R!H ux {2,[S,D,T]} {3,[S,D,T]} -2 R!H ux {1,[S,D,T]} {4,[S,D,T]} -3 * X u0 {1,[S,D,T]} -4 X u0 {2,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 O u0 p2 c0 {2,D} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1342,11 +1383,14 @@ entry( index = 71, - label = "R*vdW", + label = "C-XR3", group = """ -1 * X u0 -2 R u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1358,13 +1402,17 @@ entry( index = 72, - label = "N*O*", + label = "C-XR2CR3", group = """ -1 N u0 p1 c0 {2,[S,D]} {3,[S,D]} -2 O u0 p2 c0 {1,[S,D]} {4,[S,D]} -3 * X u0 p0 c0 {1,[S,D]} -4 X u0 p0 c0 {2,[S,D]} +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} +7 R u0 c0 {3,S} +8 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1376,14 +1424,14 @@ entry( index = 73, - label = "(CR3)*", + label = "C-XR2N", group = """ -1 C u0 {2,D} {3,S} {4,S} -2 R!H u0 {1,D} -3 R u0 {1,S} -4 R u0 {1,S} -5 * X u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1395,13 +1443,15 @@ entry( index = 74, - label = "(CR2)*", + label = "C-XR2OR", group = """ -1 C u0 {2,T} {3,S} -2 R!H u0 {1,T} -3 R u0 {1,S} -4 * X u0 +1 * X u0 p0 c0 {2,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 O u0 p2 c0 {2,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1413,13 +1463,12 @@ entry( index = 75, - label = "(N=[O,N]R)*", + label = "C=X(=R)", group = """ -1 N u0 {2,D} {3,S} -2 [N,O] u0 {1,D} -3 R u0 {1,S} -4 * X u0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1431,14 +1480,12 @@ entry( index = 76, - label = "N-*RN=*", + label = "C=X(=C)", group = """ -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1450,14 +1497,13 @@ entry( index = 77, - label = "(CRCR)*", + label = "C=X(=NR)", group = """ -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 R u0 c0 {1,S} -4 R u0 c0 {2,S} -5 * X u0 p0 c0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1469,15 +1515,13 @@ entry( index = 78, - label = "C-*R2N=*", + label = "C=XR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,D} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1489,16 +1533,15 @@ entry( index = 79, - label = "C-*R2N-*R", + label = "C=XRCR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 N u0 p1 c0 {1,S} {6,S} {7,S} -3 * X u0 p0 c0 {1,S} -4 R u0 p0 c0 {1,S} -5 R u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 R u0 p0 c0 {2,S} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1510,12 +1553,16 @@ entry( index = 80, - label = "C=*(=C)", + label = "C=XRCR3", group = """ -1 C u0 p0 c0 {2,D} {3,D} -2 * X u0 p0 c0 {1,D} -3 C u0 p0 c0 {1,D} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1527,15 +1574,13 @@ entry( index = 81, - label = "C-*R2O-*", + label = "C=XRN", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 O u0 p2 c0 {1,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,S} +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 N u0 p1 c0 {2,S} +4 R u0 p0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1547,15 +1592,14 @@ entry( index = 82, - label = "(CR2CR)*", + label = "C=XROR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} -3 R u0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {2,S} -6 * X u0 p0 c0 +1 * X u0 p0 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1567,15 +1611,11 @@ entry( index = 83, - label = "C=*RC-*R", + label = "NX", group = """ -1 C u0 p0 c0 {2,S} {3,D} {5,S} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 * X u0 p0 c0 {1,D} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R!H u0 c0 {2,D} +1 * X u0 {2,[S,D,T]} +2 N u0 {1,[S,D,T]} """, thermo = None, shortDesc = """""", @@ -1587,14 +1627,12 @@ entry( index = 84, - label = "C#*C-*R", + label = "N-XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 C u0 p0 c0 {1,S} {5,T} -3 X u0 p0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1606,15 +1644,13 @@ entry( index = 85, - label = "C#*C-*R2", + label = "N-XCR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 C u0 p0 c0 {2,D} {4,D} +4 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1626,16 +1662,14 @@ entry( index = 86, - label = "C-*R2C-*R", + label = "N-XCR2", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 * X u0 p0 c0 {1,S} -4 R u0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 R!H u0 c0 {2,D} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 N u0 p1 c0 {1,S} {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1647,15 +1681,13 @@ entry( index = 87, - label = "C-*RC-*R", + label = "N-XNR", group = """ -1 C u0 p0 c0 {2,D} {3,S} {5,S} -2 C u0 p0 c0 {1,D} {4,S} {6,S} -3 * X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} -5 R u0 c0 {1,S} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1667,14 +1699,13 @@ entry( index = 88, - label = "C#*C=*R", + label = "N-XR2", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 X u0 p0 c0 {1,D} -4 R u0 c0 {1,S} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,[S,D]} +2 N u0 {1,[S,D]} {3,[S,D]} {4,[S,D]} +3 R!H u0 {2,[S,D]} +4 R u0 c0 {2,[S,D]} """, thermo = None, shortDesc = """""", @@ -1686,16 +1717,14 @@ entry( index = 89, - label = "C=*=R-C-*R2", + label = "N-XRCR", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 R!H u0 c0 {1,S} {3,D} -3 C u0 p0 c0 {2,D} {7,D} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {3,D} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,D} +4 R u0 c0 {2,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1707,18 +1736,16 @@ entry( index = 90, - label = "R2C-*-R-C-*R2", + label = "N-XRCR3", group = """ -1 C u0 p0 c0 {3,S} {4,S} {8,S} {9,S} -2 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -3 R!H u0 c0 {1,S} {2,S} -4 * X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {2,S} -7 R u0 c0 {2,S} -8 R u0 c0 {1,S} -9 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 N u0 p1 c0 {1,S} {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1730,16 +1757,14 @@ entry( index = 91, - label = "RC=*-R=C-*R", + label = "N-XRNR", group = """ -1 C u0 p0 c0 {3,S} {4,D} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 R!H u0 c0 {1,S} {2,D} -4 * X u0 p0 c0 {1,D} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 N u0 p1 c0 {2,S} {5,D} +4 R u0 c0 {2,S} +5 R!H u0 c0 {3,D} """, thermo = None, shortDesc = """""", @@ -1751,17 +1776,15 @@ entry( index = 92, - label = "RC-*=R-C-*R2", + label = "N-XRNR2", group = """ -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,D} {7,S} {8,S} -3 R!H u0 c0 {1,S} {2,D} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {2,S} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 N u0 p1 c0 {2,S} {5,S} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} +6 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1773,17 +1796,14 @@ entry( index = 93, - label = "RC=*-R-C-*R2", + label = "N-XROR", group = """ -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,D} {8,S} -3 R!H u0 c0 {1,S} {2,S} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {2,D} -8 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 O u0 p2 c0 {2,S} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1795,16 +1815,13 @@ entry( index = 94, - label = "RC-*=R=C-*R", + label = "N[+]-XR[-]R", group = """ -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 R!H u0 p0 c0 {1,D} {2,D} -4 * X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 R!H u0 p[1,2,3] c-1 {2,S} +4 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1816,15 +1833,13 @@ entry( index = 95, - label = "RC-*=R=C=*", + label = "N[+]=XR[-]R", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 * X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {3,D} +1 * X u0 p0 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,S} {4,S} +3 R!H u0 p[1,2,3] c-1 {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1836,14 +1851,12 @@ entry( index = 96, - label = "O-*-C-O-*", + label = "N=XR", group = """ -1 C u0 p0 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 O u0 p2 c0 {1,S} {5,S} -4 * X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1855,15 +1868,13 @@ entry( index = 97, - label = "RC-*=R-O-*", + label = "N=XC#R", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 c0 {1,D} {3,S} -3 O u0 p2 c0 {2,S} {6,S} -4 * X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 R!H u0 c0 {3,T} """, thermo = None, shortDesc = """""", @@ -1875,13 +1886,13 @@ entry( index = 98, - label = "C-*R2", + label = "N=XC-R", group = """ -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 * X u0 p0 c0 {1,S} -3 R!H u0 c0 {1,D} -4 R u0 c0 {1,S} +1 * X u0 p0 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} +3 N u0 p1 c0 {1,D} {2,S} +4 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1893,15 +1904,12 @@ entry( index = 99, - label = "C=*RCR2", + label = "N=XN", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,D} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 * X u0 p0 c0 {2,D} -4 R u0 c0 {1,S} -5 R!H u0 c0 {1,D} -6 R u0 c0 {2,S} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 N u0 p1 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1913,14 +1921,13 @@ entry( index = 100, - label = "C#*CR2", + label = "N=XOR", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 C u0 p0 c0 {1,S} {5,T} -3 R u0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,T} +1 * X u0 p0 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -1932,14 +1939,11 @@ entry( index = 101, - label = "O-*CR2", + label = "OX", group = """ -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 O u0 p2 c0 {1,S} {5,S} -3 R u0 c0 {1,S} -4 R!H u0 c0 {1,D} -5 * X u0 p0 c0 {2,S} +1 * X u0 {2,[S,D]} +2 O ux {1,[S,D]} """, thermo = None, shortDesc = """""", @@ -1951,14 +1955,12 @@ entry( index = 102, - label = "C*RC*", + label = "O-XR", group = """ -1 R!H u0 {2,[S,D,T]} {3,[S,D,T]} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 C u0 {1,[S,D,T]} {5,[S,D,T]} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,[S,D,T]} +1 * X u0 p0 c0 {2,S} +2 O u0 p2 c0 {1,S} {3,S} +3 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -1970,14 +1972,14 @@ entry( index = 103, - label = "R*bridged-bidentate", + label = "O-XCR2", group = """ -1 R!H ux {2,[S,D,T]} {3,[S,D,T]} -2 R!H ux {1,[S,D,T]} {4,[S,D,T]} -3 R!H ux {1,[S,D,T]} {5,[S,D,T]} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,[S,D,T]} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} +3 O u0 p2 c0 {1,S} {2,S} +4 R u0 c0 {2,S} +5 R!H u0 c0 {2,D} """, thermo = None, shortDesc = """""", @@ -1989,14 +1991,15 @@ entry( index = 104, - label = "C*RO*", + label = "O-XCR3", group = """ -1 R!H u0 {2,[S,D,T]} {3,S} -2 C u0 {1,[S,D,T]} {4,[S,D,T]} -3 O u0 p2 {1,S} {5,S} -4 * X u0 {2,[S,D,T]} -5 X u0 {3,S} +1 * X u0 p0 c0 {3,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 O u0 p2 c0 {1,S} {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} """, thermo = None, shortDesc = """""", @@ -2008,14 +2011,12 @@ entry( index = 105, - label = "O*RO*", + label = "O-XN", group = """ -1 R!H u0 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 O u0 p2 c0 {1,S} {5,S} -4 * X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +1 * X u0 p0 c0 {3,S} +2 N u0 p1 c0 {3,S} +3 O u0 p2 c0 {1,S} {2,S} """, thermo = None, shortDesc = """""", @@ -2027,16 +2028,13 @@ entry( index = 106, - label = "C#*-R-C-*R2", + label = "O-XOR", group = """ -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 R!H u0 c0 {1,S} {3,S} -3 C u0 p0 c0 {2,S} {7,T} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 R u0 c0 {1,S} -7 * X u0 p0 c0 {3,T} +1 * X u0 p0 c0 {2,S} +2 O u0 p2 c0 {1,S} {3,S} +3 O u0 p2 c0 {2,S} {4,S} +4 R u0 p0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -2048,15 +2046,11 @@ entry( index = 107, - label = "C#*-R=C-*R", + label = "RXvdW", group = """ -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 R!H u0 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {6,T} -4 X u0 p0 c0 {1,S} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {3,T} +1 * X u0 +2 R u0 """, thermo = None, shortDesc = """""", @@ -2068,14 +2062,13 @@ entry( index = 108, - label = "C#*-R-C#*", + label = "(CR2)X", group = """ -1 R!H u0 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} -3 C u0 p0 c0 {1,S} {5,T} -4 * X u0 p0 c0 {2,T} -5 X u0 p0 c0 {3,T} +1 * X u0 +2 C u0 {3,T} {4,S} +3 R!H u0 {2,T} +4 R u0 {2,S} """, thermo = None, shortDesc = """""", @@ -2087,16 +2080,14 @@ entry( index = 109, - label = "RC=*-R-C=*R", + label = "(CRCR)X", group = """ -1 C u0 p0 c0 {3,S} {4,D} {6,S} -2 C u0 p0 c0 {3,S} {5,D} {7,S} -3 R!H u0 c0 {1,S} {2,S} -4 * X u0 p0 c0 {1,D} -5 X u0 p0 c0 {2,D} -6 R u0 c0 {1,S} -7 R u0 c0 {2,S} +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,T} {4,S} +3 C u0 p0 c0 {2,T} {5,S} +4 R u0 c0 {2,S} +5 R u0 c0 {3,S} """, thermo = None, shortDesc = """""", @@ -2108,15 +2099,340 @@ entry( index = 110, - label = "C#*-R-C=*R", + label = "(CRN)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,T} {4,S} +3 N u0 p1 c0 {2,T} +4 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 111, + label = "(CR3)X", + group = +""" +1 * X u0 +2 C u0 {3,D} {4,S} {5,S} +3 R!H u0 {2,D} +4 R u0 {2,S} +5 R u0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 112, + label = "(CR2CR)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {2,D} {6,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 113, + label = "(CR2N)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 N u0 p1 c0 {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 114, + label = "(CR2O)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 O u0 p2 c0 {2,D} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 115, + label = "(CR4)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 116, + label = "(CR3CR3)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 c0 {3,S} +8 R u0 c0 {3,S} +9 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 117, + label = "(CR3N)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 118, + label = "(CR3OR)X", + group = +""" +1 * X u0 p0 c0 +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 O u0 p2 c0 {2,S} {7,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +6 R u0 c0 {2,S} +7 R u0 p0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 119, + label = "(N=C)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,D} +4 R u0 p0 c0 {2,S} +5 R!H u0 p[1,2] c0 {3,D} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 120, + label = "(NR3)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 R u0 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 121, + label = "(NN)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 122, + label = "(NO)X", + group = +""" +1 * X u0 p0 c0 +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 O u0 p2 c0 {2,S} +4 R u0 c0 {2,S} +5 R u0 c0 {2,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 123, + label = "(OR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 R!H u0 p1 c0 {2,D} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 124, + label = "(ONR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 R u0 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 125, + label = "(ONN)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 N u0 p2 c0 {3,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 126, + label = "(ONOR)X", + group = +""" +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,D} +3 N u0 p1 c0 {2,D} {4,S} +4 O u0 p2 c0 {3,S} {5,S} +5 R u0 c0 {4,S} +""", + thermo = None, + shortDesc = """""", + longDesc = +""" + +""", +) + +entry( + index = 127, + label = "(OR2)X", group = """ -1 C u0 p0 c0 {2,S} {4,D} {5,S} -2 R!H u0 c0 {1,S} {3,S} -3 C u0 p0 c0 {2,S} {6,T} -4 X u0 p0 c0 {1,D} -5 R u0 c0 {1,S} -6 * X u0 p0 c0 {3,T} +1 * X u0 p0 c0 +2 O u0 p2 c0 {3,S} {4,S} +3 R u0 p[0,1,2] c0 {2,S} +4 R u0 p[0,1,2] c0 {2,S} """, thermo = None, shortDesc = """""", diff --git a/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt b/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt index 8794b028b4..ddfcbf3e0f 100644 --- a/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt +++ b/input/thermo/uncertainty/adsorptionPt111/species_dictionary.txt @@ -1,4 +1,75 @@ -C3H4X(0) +[Pt](0) +1 X u0 p0 c0 + +CHO3X(1) +1 O u0 p2 c0 {4,S} {6,S} +2 O u0 p2 c0 {4,S} {5,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CH2NOX2(2) +1 O u0 p2 c0 {3,S} {5,S} +2 N u0 p1 c0 {3,S} {4,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} +7 X u0 p0 c0 {2,S} + +N[Pt](3) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} + +OO.[Pt](4) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 + +CH4O2X(5) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 + +CH2NX +1 N u0 p1 c0 {2,D} {4,S} +2 C u0 p0 c0 {1,D} {3,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} + +C3H4X(7) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,T} +3 C u0 p0 c0 {2,T} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 + +CC.[Pt](8) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 + +C3H4X(9) 1 C u0 p0 c0 {3,D} {4,S} {5,S} 2 C u0 p0 c0 {3,D} {6,S} {7,S} 3 C u0 p0 c0 {1,D} {2,D} @@ -8,24 +79,37 @@ C3H4X(0) 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 -C2H4X(1) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +COX(10) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 X u0 p0 c0 {2,D} -C2H2OX(2) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +HNOX(11) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} + +CHOX(12) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} + +CH2OX2(13) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CHX(14) +1 C u0 p0 c0 {2,S} {3,T} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,T} -CH3NX(3) +CH3NX(15) 1 N u0 p1 c0 {2,D} {5,S} 2 C u0 p0 c0 {1,D} {3,S} {4,S} 3 H u0 p0 c0 {2,S} @@ -33,378 +117,257 @@ CH3NX(3) 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -CH2OX(4) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +C2H4X(16) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 + +CH3N2X2(17) +1 N u0 p1 c0 {2,S} {3,S} {7,S} +2 N u0 p1 c0 {1,S} {8,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} + +NO3X3(18) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,S} {7,S} +4 N u0 p1 c0 {1,S} {2,S} {3,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} + +C2H5OX(19) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} -C3H5X(5) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} +C3H3X(20) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2H3X(21) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +CH3NOX(22) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,S} {2,S} {7,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,D} -C2H3OX(6) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} +C2H3OX2(23) +1 O u0 p2 c0 {3,S} {6,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -C3H8X(7) +C3H6X(24) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +3 C u0 p0 c0 {1,S} {9,S} {10,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 X u0 p0 c0 - -C2H6OX(8) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {1,S} -10 X u0 p0 c0 +10 X u0 p0 c0 {3,D} -C3H5OX(9) -1 O u0 p2 c0 {4,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -4 C u0 p0 c0 {1,D} {2,S} {10,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {4,S} +CHNX2(25) +1 N u0 p1 c0 {2,S} {5,D} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,D} -C2H6X(10) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} +CH2N2X2(26) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} -C3H6X(11) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} +C3H7X(27) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {3,S} 9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {2,S} -C2H4OX(12) +CNOX2(28) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +2 N u0 p1 c0 {3,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 X u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,D} -CH5NX(13) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} +C2H2X2(29) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +C2H3X(30) +1 C u0 p0 c0 {2,D} {3,S} {6,S} +2 C u0 p0 c0 {1,D} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 +6 X u0 p0 c0 {1,S} -CH4N2OX(14) -1 O u0 p2 c0 {2,S} {8,S} -2 N u0 p0 c+1 {1,S} {3,S} {9,D} -3 N u0 p2 c-1 {2,S} {4,S} -4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -C2H6O2X(15) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 H u0 p0 c0 {2,S} -11 X u0 p0 c0 - -C2H6OX(16) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} -3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 - -CH4OX(17) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 - -C3H6X(18) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} - -C3H7X(19) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {1,S} - -C2H5OX(20) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} -3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +C2H2X(31) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} - -C3H6X2(21) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {1,S} -11 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C2H4OX(22) -1 O u0 p2 c0 {3,S} {7,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} +H4N2X(32) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 N u0 p1 c0 {1,S} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +7 X u0 p0 c0 -C2H3OX(23) +CHNOX(33) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} - -CH4N2OX(24) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p0 c+1 {3,S} {4,S} {9,D} -3 N u0 p2 c-1 {1,S} {2,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -CH4N2OX2(25) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p1 c0 {3,S} {4,S} {9,S} -3 N u0 p1 c0 {1,S} {2,S} {10,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C.[Pt](26) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H3X2(34) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -C3H4X(27) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,T} -3 C u0 p0 c0 {2,T} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} -C2H2X(28) -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 H u0 p0 c0 {1,S} +CH2OX(35) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 -CO2X(29) -1 O u0 p2 c0 {3,D} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 - -CH4O2X(30) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 - -C2H5O2X(31) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 X u0 p0 c0 {2,S} +CH3N2X(36) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,D} {6,S} +3 C u0 p0 c0 {1,S} {2,D} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -CH2O2X2(32) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +CH2O2X(37) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} 4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -H3NOX(33) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -O.[Pt](34) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 +CH4OX(38) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 -H2X(35) -1 H u0 p0 c0 {2,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 +C2X2(39) +1 C u0 p0 c0 {2,D} {3,D} +2 C u0 p0 c0 {1,D} {4,D} +3 X u0 p0 c0 {1,D} +4 X u0 p0 c0 {2,D} -CHO2X(36) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +C3HX3(40) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} -C2H4O2X(37) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {4,D} -3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -4 C u0 p0 c0 {1,S} {2,D} {8,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {4,S} -9 X u0 p0 c0 +C2HX2(41) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH2O2X(38) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +CH4N2X(42) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -H2O2X(39) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -HNOX(40) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,S} {4,D} +HO2X(43) +1 O u0 p2 c0 {2,S} {4,S} +2 O u0 p2 c0 {1,S} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 X u0 p0 c0 {1,S} -CHNOX(41) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} +CH2N2X(44) +1 N u0 p1 c0 {3,D} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -C2H8N2X(42) +C2H8N2X(45) 1 N u0 p1 c0 {2,S} {3,S} {4,S} 2 N u0 p1 c0 {1,S} {11,S} {12,S} 3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} @@ -419,135 +382,105 @@ C2H8N2X(42) 12 H u0 p0 c0 {2,S} 13 X u0 p0 c0 -H4N2X(43) +H2N2X(46) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +5 X u0 p0 c0 {2,D} -CH4N2X(44) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +C2H5OX(47) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -CH3N2X(45) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,D} {6,S} -3 C u0 p0 c0 {1,S} {2,D} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +CH2O2X2(48) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -[Pt].N(46) +CH2NX(49) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 C u0 p0 c0 {1,S} {5,T} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 - -CH2N2X(47) -1 N u0 p1 c0 {3,D} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,T} -CH2N2X2(48) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} +CHNOX2(50) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,S} {6,D} +3 C u0 p0 c0 {1,S} {2,S} {5,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,D} +6 X u0 p0 c0 {2,D} -N2X(49) -1 N u0 p1 c0 {2,T} -2 N u0 p1 c0 {1,T} -3 X u0 p0 c0 +CH2NX(51) +1 N u0 p1 c0 {2,D} {5,S} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,S} -CH2O3X(50) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} +C3H4X2(52) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 - -CH3NOX(51) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} -CHNOX(52) -1 O u0 p2 c0 {3,D} +CHN2X2(53) +1 N u0 p1 c0 {3,S} {6,D} 2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} -CH3NOX(53) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,S} {2,S} {7,D} +C2HOX(54) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {3,T} -CH2NOX(54) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} +CHOX(55) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,T} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,T} -CH2NOX2(55) -1 O u0 p2 c0 {3,S} {5,S} -2 N u0 p1 c0 {3,S} {4,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {2,S} +C2OX2(56) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} +4 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {3,T} -C2H6N2OX(56) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -6 H u0 p0 c0 {4,S} +C2H5O2X(57) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {4,S} 8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {5,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 X u0 p0 c0 - -H2N2OX(57) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +9 H u0 p0 c0 {4,S} +10 X u0 p0 c0 {2,S} HNO2X(58) 1 O u0 p2 c0 {3,S} {4,S} @@ -556,141 +489,78 @@ HNO2X(58) 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 -CH2NOX(59) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} - -HN2OX(60) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,D} {5,S} -3 N u0 p1 c0 {2,D} {4,S} -4 H u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,S} - -C3H2X(61) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -C3H5X(62) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C2H3OX(63) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {7,T} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,T} - -C3H4X2(64) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C3H2X2(65) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} - -C2H2X(66) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} +[Pt].N(59) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +5 X u0 p0 c0 -C2H3X(67) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +CNX(60) +1 N u0 p1 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 X u0 p0 c0 {2,S} -C3H3X(68) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CN[Pt](61) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {1,S} -C2HOX(69) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} +CH2NOX(62) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {2,S} -C3H3X2(70) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {8,D} +CH2OX(63) +1 O u0 p2 c0 {2,S} {4,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {2,D} -C2OX(71) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,D} +C3H3X2(64) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {7,D} +3 C u0 p0 c0 {2,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} -C3H7X(72) +C3H8X(65) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} 10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 X u0 p0 c0 -C2H5OX(73) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +C3H5X(66) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} -C3H6X2(74) +C3H6X2(67) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S} 3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} @@ -703,207 +573,233 @@ C3H6X2(74) 10 X u0 p0 c0 {2,S} 11 X u0 p0 c0 {3,S} -C2H5X(75) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 H u0 p0 c0 {1,S} +C2H6OX(68) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} +3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 + +CH2NOX(69) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,S} -C3H5X(76) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} +C3H6X2(70) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {1,S} +11 X u0 p0 c0 {3,S} + +CH2X(71) +1 C u0 p0 c0 {2,S} {3,S} {4,D} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,D} -C2H3OX(77) +C2HOX(72) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} -NC[Pt](78) -1 N u0 p1 c0 {2,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} -3 H u0 p0 c0 {2,S} +C3HX3(73) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 C u0 p0 c0 {1,S} {7,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} +7 X u0 p0 c0 {3,T} -CH3OX(79) -1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +CH3NX(74) +1 N u0 p1 c0 {2,S} {6,D} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -C3H4X2(80) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {6,S} {7,S} +N2OX(75) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,D} +3 N u0 p1 c0 {1,D} {2,S} +4 X u0 p0 c0 {2,D} + +CHNOX2(76) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} + +C3H5X(77) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {3,S} -C2H4X2(81) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +OX(78) +1 O u0 p2 c0 {2,D} +2 X u0 p0 c0 {1,D} + +C2H3OX(79) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -C3H5X3(82) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} -10 X u0 p0 c0 {2,S} -11 X u0 p0 c0 {3,S} +CX(80) +1 C u0 p0 c0 {2,Q} +2 X u0 p0 c0 {1,Q} -C2H3X2(83) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} +CO2X(81) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 -C2H3OX2(84) -1 O u0 p2 c0 {3,S} {6,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +H2X(82) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 -CH3NX2(85) -1 N u0 p1 c0 {2,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +C2H6N2OX(83) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {5,S} +10 H u0 p0 c0 {5,S} +11 H u0 p0 c0 {5,S} +12 X u0 p0 c0 -CH2NX2(86) -1 N u0 p1 c0 {2,S} {6,D} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +O2X2(84) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 X u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,S} + +CH4N2OX(85) +1 O u0 p2 c0 {2,S} {8,S} +2 N u0 p0 c+1 {1,S} {3,S} {9,D} +3 N u0 p2 c-1 {2,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} -CH2OX2(87) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +H3NOX(86) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -CH2X(88) -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -CH3X(89) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H4X2(87) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} - -C3H3X(90) -1 C u0 p0 c0 {3,D} {4,S} {7,S} -2 C u0 p0 c0 {3,D} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,S} -C3H6X(91) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {3,D} - -C3H5X2(92) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {8,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} +CH3NOX(88) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -C3H4X2(93) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {8,D} -3 C u0 p0 c0 {1,S} {7,S} {9,D} +C3H3X3(89) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,S} {6,S} {9,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} 8 X u0 p0 c0 {2,D} 9 X u0 p0 c0 {3,D} -C3H3X2(94) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 C u0 p0 c0 {1,S} {8,T} +CHOX2(90) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,S} + +CHNX(91) +1 N u0 p1 c0 {2,D} {3,S} +2 C u0 p0 c0 {1,D} {4,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +C3H3X2(92) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {8,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} + +C3H2X3(93) +1 C u0 p0 c0 {2,S} {3,S} {6,D} +2 C u0 p0 c0 {1,S} {4,S} {7,D} +3 C u0 p0 c0 {1,S} {5,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} 7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +8 X u0 p0 c0 {3,D} -C2H3X(95) -1 C u0 p0 c0 {2,D} {3,S} {6,S} -2 C u0 p0 c0 {1,D} {4,S} {5,S} +C.[Pt](94) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -C2H4X(96) +C2H4X(95) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,D} 3 H u0 p0 c0 {1,S} @@ -912,28 +808,24 @@ C2H4X(96) 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {2,D} -C3H4X(97) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,D} {6,S} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,D} +CHO2X(96) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {1,S} -C3H5X(98) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {3,S} +C2H4OX(97) +1 O u0 p2 c0 {3,S} {7,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} -C2H2OX(99) +C2H2OX(98) 1 O u0 p2 c0 {3,D} 2 C u0 p0 c0 {3,S} {4,S} {6,D} 3 C u0 p0 c0 {1,D} {2,S} {5,S} @@ -941,109 +833,45 @@ C2H2OX(99) 5 H u0 p0 c0 {3,S} 6 X u0 p0 c0 {2,D} -C3H4X2(100) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} +C3H4X2(99) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {9,T} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} - -C3H3X2(101) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 C u0 p0 c0 {1,D} {6,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,S} - -C3H2X2(102) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +9 X u0 p0 c0 {3,T} -C2H2OX2(103) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +CNOX(100) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 X u0 p0 c0 {3,T} -C2HOX(104) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +CH5NX(101) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} - -C3H2X2(105) -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -C3HX2(106) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -CH3NX(107) -1 N u0 p1 c0 {2,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 -CH2NX(108) +HN2X(102) 1 N u0 p1 c0 {2,D} {4,S} -2 C u0 p0 c0 {1,D} {3,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} - -CH2OX(109) -1 O u0 p2 c0 {2,S} {4,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CHOX(110) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} +2 N u0 p1 c0 {1,D} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} +4 X u0 p0 c0 {1,S} -C3H4X2(111) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {8,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,S} +N2X(103) +1 N u0 p0 c+1 {2,D} {3,D} +2 N u0 p2 c-1 {1,D} +3 X u0 p0 c0 {1,D} -C3H5X2(112) +C3H5X2(104) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} 3 C u0 p0 c0 {1,S} {8,S} {10,D} @@ -1055,129 +883,103 @@ C3H5X2(112) 9 X u0 p0 c0 {1,S} 10 X u0 p0 c0 {3,D} -C3H3X3(113) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,S} {6,S} {9,D} +C2H3OX(105) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} + +CH2N2X3(106) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,S} {5,S} {8,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,D} 7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} -9 X u0 p0 c0 {3,D} +8 X u0 p0 c0 {2,S} + +C3H5X(107) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -C2H2X2(114) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 H u0 p0 c0 {1,S} +CHNOX2(108) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} -C2HOX2(115) +CH2NOX(109) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,D} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {3,S} -C3H2X3(116) -1 C u0 p0 c0 {2,S} {3,S} {6,D} -2 C u0 p0 c0 {1,S} {4,S} {7,D} -3 C u0 p0 c0 {1,S} {5,S} {8,D} -4 H u0 p0 c0 {2,S} +C2H4O2X(110) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {4,D} +3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +4 C u0 p0 c0 {1,S} {2,D} {8,S} 5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,D} - -C3HX3(117) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} -7 X u0 p0 c0 {3,T} - -C2HX2(118) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CH2NX2(119) -1 N u0 p1 c0 {2,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} -6 X u0 p0 c0 {1,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {4,S} +9 X u0 p0 c0 -CHNX2(120) -1 N u0 p1 c0 {2,S} {5,D} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} -5 X u0 p0 c0 {1,D} +CH4N2OX2(111) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p1 c0 {3,S} {4,S} {9,S} +3 N u0 p1 c0 {1,S} {2,S} {10,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,S} -CHOX2(121) +H2NOX(112) 1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CHX(122) -1 C u0 p0 c0 {2,S} {3,T} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,T} - -CH2NX(123) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,T} - -CHNX(124) -1 N u0 p1 c0 {2,D} {3,S} -2 C u0 p0 c0 {1,D} {4,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -CNOX(125) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {4,T} -4 X u0 p0 c0 {3,T} +HN2OX(113) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,D} {5,S} +3 N u0 p1 c0 {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,S} -CNX(126) -1 N u0 p1 c0 {2,T} -2 C u0 p0 c0 {1,T} {3,S} -3 X u0 p0 c0 {2,S} +CNOX(114) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,S} -CHOX(127) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} +C2H2X(115) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,T} - -CHO2X(128) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,S} - -COX(129) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,D} -3 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {2,D} -C3H2X2(130) +C3H2X2(116) 1 C u0 p0 c0 {2,D} {3,S} {6,S} 2 C u0 p0 c0 {1,D} {4,S} {5,S} 3 C u0 p0 c0 {1,S} {7,T} @@ -1186,245 +988,495 @@ C3H2X2(130) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {3,T} -C3H3X2(131) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {7,D} -3 C u0 p0 c0 {2,S} {8,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +C2H3OX(117) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} -C2H2X2(132) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +NOX(118) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 X u0 p0 c0 {2,S} + +C2H6O2X(119) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {2,S} +11 X u0 p0 c0 + +CO3X2(120) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +6 X u0 p0 c0 {2,S} + +C2H2OX(121) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 + +HOX(122) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,S} -C3H4X2(133) +C2H5X(123) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {9,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,T} -C3HX3(134) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CH4NX(124) +1 N u0 p1 c0 {2,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +NO2X2(125) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p3 c-1 {3,S} +3 N u0 p0 c+1 {1,S} {2,S} {4,D} +4 X u0 p0 c0 {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} -C2OX2(135) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +C2H4OX(126) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 -C2X2(136) -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 X u0 p0 c0 {1,D} +N2OX2(127) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} {5,D} 4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,D} -CX(137) -1 C u0 p0 c0 {2,Q} -2 X u0 p0 c0 {1,Q} - -[PtH](138) -1 H u0 p0 c0 {2,S} -2 X u0 p0 c0 {1,S} +C2H6OX(128) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {1,S} +10 X u0 p0 c0 -CH2NX(139) -1 N u0 p1 c0 {2,D} {5,S} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +CHN2X(129) +1 N u0 p1 c0 {3,D} {5,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CH3NX(140) -1 N u0 p1 c0 {2,S} {6,D} +CH3N2X(130) +1 N u0 p1 c0 {2,D} {3,S} +2 N u0 p1 c0 {1,D} {7,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} + +CH3OX(131) +1 O u0 p2 c0 {2,S} {6,S} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +C2H5OX(132) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} +3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} + +CH3NX2(133) +1 N u0 p1 c0 {2,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -CHN2X(141) -1 N u0 p1 c0 {3,D} {5,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +CH4N2OX(134) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p0 c+1 {3,S} {4,S} {9,D} +3 N u0 p2 c-1 {1,S} {2,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} + +H2N2X2(135) +1 N u0 p1 c0 {2,S} {3,S} {5,S} +2 N u0 p1 c0 {1,S} {4,S} {6,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} -CN2X(142) -1 N u0 p1 c0 {3,S} {4,D} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} -4 X u0 p0 c0 {1,D} +C3H5OX(136) +1 O u0 p2 c0 {4,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 C u0 p0 c0 {1,D} {2,S} {10,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {4,S} -CNOX(143) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,S} +C3H4X2(137) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {8,D} +3 C u0 p0 c0 {1,S} {7,S} {9,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,D} +9 X u0 p0 c0 {3,D} + +CH2O3X(138) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -N[Pt](144) +HN2X2(139) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH4NX(145) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {1,S} - -CH2NOX(146) +C2H2OX2(140) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -H3N2X(147) -1 N u0 p1 c0 {2,S} {3,S} {6,S} -2 N u0 p1 c0 {1,S} {4,S} {5,S} -3 H u0 p0 c0 {1,S} +C2H3OX(141) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {7,T} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -HN2OX(148) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {3,T} -H2NOX(149) +H2NOX(142) 1 O u0 p2 c0 {2,S} {4,S} 2 N u0 p1 c0 {1,S} {3,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,S} -CHNOX2(150) +C3H2X2(143) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2HOX2(144) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,D} 6 X u0 p0 c0 {3,S} -CH2N2X3(151) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,S} {5,S} {8,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} +N2OX(145) +1 O u0 p2 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,D} +3 N u0 p2 c-1 {2,D} +4 X u0 p0 c0 + +C3H4X2(146) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} + +C3H3X2(147) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} +3 C u0 p0 c0 {1,D} {6,S} {8,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,S} -H2N2X2(152) -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} +C2H3OX(148) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +CHO2X(149) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,S} + +HNOX2(150) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -HN2X2(153) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +C3H5X2(151) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} +3 C u0 p0 c0 {1,S} {8,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} -HNX(154) -1 N u0 p1 c0 {2,S} {3,D} +C3H4X2(152) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} + +C3H6X(153) +1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} + +H2OX(154) +1 O u0 p2 c0 {2,S} {3,S} 2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 -CH3N2X(155) -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {7,S} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +CN2X(155) +1 N u0 p1 c0 {3,S} {4,D} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 X u0 p0 c0 {1,D} + +C3H3X(156) +1 C u0 p0 c0 {3,D} {4,S} {7,S} +2 C u0 p0 c0 {3,D} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} + +CH3NX(157) +1 N u0 p1 c0 {2,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {6,D} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,D} + +CH3O2X(158) +1 O u0 p2 c0 {3,S} {7,S} +2 O u0 p2 c0 {3,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} 4 H u0 p0 c0 {3,S} 5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -H2N2X(156) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} +C3H3X2(159) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,D} +3 C u0 p0 c0 {1,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} + +CHNOX(160) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 + +CH3OX(161) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} + +C3H2X2(162) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} + +HNOX(163) +1 O u0 p2 c0 {2,S} {3,S} +2 N u0 p1 c0 {1,S} {4,D} 3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +CH2NX2(164) +1 N u0 p1 c0 {2,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,D} +6 X u0 p0 c0 {1,S} -HN2X(157) -1 N u0 p1 c0 {2,D} {4,S} -2 N u0 p1 c0 {1,D} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H5X(165) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} -NO2X(158) -1 O u0 p3 c-1 {3,S} -2 O u0 p2 c0 {3,D} -3 N u0 p0 c+1 {1,S} {2,D} {4,S} -4 X u0 p0 c0 {3,S} +NX(166) +1 N u0 p1 c0 {2,T} +2 X u0 p0 c0 {1,T} -HNOX(159) -1 O u0 p2 c0 {2,S} {3,S} -2 N u0 p1 c0 {1,S} {4,D} +CH3X(167) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -NOX(160) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 X u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} -CHN2X2(161) -1 N u0 p1 c0 {3,S} {6,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +H2N2OX(168) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -CHNOX2(162) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,S} {6,D} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,D} -6 X u0 p0 c0 {2,D} +[PtH](169) +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} -CNOX2(163) +HN2OX(170) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,D} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 X u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} + +C2OX(171) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,D} + +C3H5X3(172) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} +3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} +10 X u0 p0 c0 {2,S} +11 X u0 p0 c0 {3,S} -CHN2X3(164) +HNX(173) +1 N u0 p1 c0 {2,S} {3,D} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,D} + +N2X(174) +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} +3 X u0 p0 c0 + +CHN2X3(175) 1 N u0 p1 c0 {3,S} {4,S} {6,S} 2 N u0 p1 c0 {3,S} {7,D} 3 C u0 p0 c0 {1,S} {2,S} {5,D} @@ -1433,129 +1485,113 @@ CHN2X3(164) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,D} -CH3N2X2(165) -1 N u0 p1 c0 {2,S} {3,S} {7,S} -2 N u0 p1 c0 {1,S} {8,D} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} - -NX(166) -1 N u0 p1 c0 {2,T} -2 X u0 p0 c0 {1,T} - -CO3X2(167) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +C2H2X2(176) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} -CHO3X(168) -1 O u0 p2 c0 {4,S} {6,S} -2 O u0 p2 c0 {4,S} {5,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +C3H7X(177) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {1,S} -C2H5OX(169) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} +C3H4X(178) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} - -CH3O2X(170) -1 O u0 p2 c0 {3,S} {7,S} -2 O u0 p2 c0 {3,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} -CH3OX(171) -1 O u0 p2 c0 {2,S} {6,S} +CH2NX2(179) +1 N u0 p1 c0 {2,S} {6,D} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -C2H3OX(172) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -HOX(173) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,S} +C3H2X(180) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -H2NOX(174) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} +C3HX2(181) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -HO2X(175) -1 O u0 p2 c0 {2,S} {4,S} -2 O u0 p2 c0 {1,S} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H4X2(182) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {8,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,S} -CHNOX2(176) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +C3H6X(183) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 + +H3N2X(184) +1 N u0 p1 c0 {2,S} {3,S} {6,S} +2 N u0 p1 c0 {1,S} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {1,S} -HNOX2(177) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,S} - -NO2X2(178) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p3 c-1 {3,S} -3 N u0 p0 c+1 {1,S} {2,S} {4,D} -4 X u0 p0 c0 {3,D} -5 X u0 p0 c0 {1,S} - -NO3X3(179) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,S} {7,S} -4 N u0 p1 c0 {1,S} {2,S} {3,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +C3H2X2(185) +1 C u0 p0 c0 {3,D} {4,S} {6,S} +2 C u0 p0 c0 {3,D} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -O2X2(180) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +NO2X(186) +1 O u0 p3 c-1 {3,S} +2 O u0 p2 c0 {3,D} +3 N u0 p0 c+1 {1,S} {2,D} {4,S} +4 X u0 p0 c0 {3,S} -OX(181) -1 O u0 p2 c0 {2,D} -2 X u0 p0 c0 {1,D} +C2H2OX2(187) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} diff --git a/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy b/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy index 7f180ee392..20c4be038f 100644 Binary files a/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy and b/input/thermo/uncertainty/surfaceThermoPt111/covariance.npy differ diff --git a/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt b/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt index 8794b028b4..ddfcbf3e0f 100644 --- a/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt +++ b/input/thermo/uncertainty/surfaceThermoPt111/species_dictionary.txt @@ -1,4 +1,75 @@ -C3H4X(0) +[Pt](0) +1 X u0 p0 c0 + +CHO3X(1) +1 O u0 p2 c0 {4,S} {6,S} +2 O u0 p2 c0 {4,S} {5,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CH2NOX2(2) +1 O u0 p2 c0 {3,S} {5,S} +2 N u0 p1 c0 {3,S} {4,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} +7 X u0 p0 c0 {2,S} + +N[Pt](3) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} + +OO.[Pt](4) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 + +CH4O2X(5) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 + +CH2NX +1 N u0 p1 c0 {2,D} {4,S} +2 C u0 p0 c0 {1,D} {3,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} + +C3H4X(7) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,T} +3 C u0 p0 c0 {2,T} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 + +CC.[Pt](8) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 + +C3H4X(9) 1 C u0 p0 c0 {3,D} {4,S} {5,S} 2 C u0 p0 c0 {3,D} {6,S} {7,S} 3 C u0 p0 c0 {1,D} {2,D} @@ -8,24 +79,37 @@ C3H4X(0) 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 -C2H4X(1) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +COX(10) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,D} +3 X u0 p0 c0 {2,D} -C2H2OX(2) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +HNOX(11) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} + +CHOX(12) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} + +CH2OX2(13) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +CHX(14) +1 C u0 p0 c0 {2,S} {3,T} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,T} -CH3NX(3) +CH3NX(15) 1 N u0 p1 c0 {2,D} {5,S} 2 C u0 p0 c0 {1,D} {3,S} {4,S} 3 H u0 p0 c0 {2,S} @@ -33,378 +117,257 @@ CH3NX(3) 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -CH2OX(4) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +C2H4X(16) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 + +CH3N2X2(17) +1 N u0 p1 c0 {2,S} {3,S} {7,S} +2 N u0 p1 c0 {1,S} {8,D} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} + +NO3X3(18) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,S} {7,S} +4 N u0 p1 c0 {1,S} {2,S} {3,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} + +C2H5OX(19) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} -C3H5X(5) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} +C3H3X(20) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2H3X(21) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +CH3NOX(22) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,S} {2,S} {7,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,D} -C2H3OX(6) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} +C2H3OX2(23) +1 O u0 p2 c0 {3,S} {6,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -C3H8X(7) +C3H6X(24) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} +3 C u0 p0 c0 {1,S} {9,S} {10,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 H u0 p0 c0 {3,S} -12 X u0 p0 c0 - -C2H6OX(8) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {1,S} -10 X u0 p0 c0 +10 X u0 p0 c0 {3,D} -C3H5OX(9) -1 O u0 p2 c0 {4,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} -4 C u0 p0 c0 {1,D} {2,S} {10,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {4,S} +CHNX2(25) +1 N u0 p1 c0 {2,S} {5,D} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,D} -C2H6X(10) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 H u0 p0 c0 {1,S} +CH2N2X2(26) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} -C3H6X(11) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} +C3H7X(27) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 H u0 p0 c0 {3,S} 9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {2,S} -C2H4OX(12) +CNOX2(28) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +2 N u0 p1 c0 {3,S} {5,D} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 X u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,D} -CH5NX(13) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} +C2H2X2(29) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} + +C2H3X(30) +1 C u0 p0 c0 {2,D} {3,S} {6,S} +2 C u0 p0 c0 {1,D} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H 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u0 p0 c0 - -C3H6X(18) -1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} -3 C u0 p0 c0 {1,S} {2,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} - -C3H7X(19) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {1,S} - -C2H5OX(20) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} -3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +C2H2X(31) +1 C u0 p0 c0 {2,T} {3,S} +2 C u0 p0 c0 {1,T} {4,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} - -C3H6X2(21) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {1,S} -11 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C2H4OX(22) -1 O u0 p2 c0 {3,S} {7,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} +H4N2X(32) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 N u0 p1 c0 {1,S} {5,S} {6,S} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +7 X u0 p0 c0 -C2H3OX(23) +CHNOX(33) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {7,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} - -CH4N2OX(24) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p0 c+1 {3,S} {4,S} {9,D} -3 N u0 p2 c-1 {1,S} {2,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,D} - -CH4N2OX2(25) -1 O u0 p2 c0 {3,S} {8,S} -2 N u0 p1 c0 {3,S} {4,S} {9,S} -3 N u0 p1 c0 {1,S} {2,S} {10,S} -4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} -5 H u0 p0 c0 {4,S} -6 H u0 p0 c0 {4,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,S} +5 X u0 p0 c0 -C.[Pt](26) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H3X2(34) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -C3H4X(27) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,T} -3 C u0 p0 c0 {2,T} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} -C2H2X(28) -1 C u0 p0 c0 {2,T} {3,S} -2 C u0 p0 c0 {1,T} {4,S} -3 H u0 p0 c0 {1,S} +CH2OX(35) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 -CO2X(29) -1 O u0 p2 c0 {3,D} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 - -CH4O2X(30) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 - -C2H5O2X(31) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,S} {10,S} -3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} -4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {4,S} -8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {4,S} -10 X u0 p0 c0 {2,S} +CH3N2X(36) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,D} {6,S} +3 C u0 p0 c0 {1,S} {2,D} {7,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -CH2O2X2(32) -1 O u0 p2 c0 {3,S} {6,S} -2 O u0 p2 c0 {3,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +CH2O2X(37) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} 4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -H3NOX(33) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {1,S} 6 X u0 p0 c0 -O.[Pt](34) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 +CH4OX(38) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 -H2X(35) -1 H u0 p0 c0 {2,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 +C2X2(39) +1 C u0 p0 c0 {2,D} {3,D} +2 C u0 p0 c0 {1,D} {4,D} +3 X u0 p0 c0 {1,D} +4 X u0 p0 c0 {2,D} -CHO2X(36) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +C3HX3(40) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} -C2H4O2X(37) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {4,D} -3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -4 C u0 p0 c0 {1,S} {2,D} {8,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {4,S} -9 X u0 p0 c0 +C2HX2(41) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH2O2X(38) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {4,S} -4 H u0 p0 c0 {3,S} +CH4N2X(42) +1 N u0 p1 c0 {3,S} {4,S} {5,S} +2 N u0 p1 c0 {3,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 - -H2O2X(39) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {3,D} -HNOX(40) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,S} {4,D} +HO2X(43) +1 O u0 p2 c0 {2,S} {4,S} +2 O u0 p2 c0 {1,S} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 X u0 p0 c0 {1,S} -CHNOX(41) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} +CH2N2X(44) +1 N u0 p1 c0 {3,D} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -C2H8N2X(42) +C2H8N2X(45) 1 N u0 p1 c0 {2,S} {3,S} {4,S} 2 N u0 p1 c0 {1,S} {11,S} {12,S} 3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} @@ -419,135 +382,105 @@ C2H8N2X(42) 12 H u0 p0 c0 {2,S} 13 X u0 p0 c0 -H4N2X(43) +H2N2X(46) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,S} {6,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +5 X u0 p0 c0 {2,D} -CH4N2X(44) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +C2H5OX(47) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -CH3N2X(45) -1 N u0 p1 c0 {3,S} {4,S} {5,S} -2 N u0 p1 c0 {3,D} {6,S} -3 C u0 p0 c0 {1,S} {2,D} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +CH2O2X2(48) +1 O u0 p2 c0 {3,S} {6,S} +2 O u0 p2 c0 {3,S} {7,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -[Pt].N(46) +CH2NX(49) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 C u0 p0 c0 {1,S} {5,T} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 - -CH2N2X(47) -1 N u0 p1 c0 {3,D} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +5 X u0 p0 c0 {2,T} -CH2N2X2(48) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} +CHNOX2(50) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,S} {6,D} +3 C u0 p0 c0 {1,S} {2,S} {5,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,D} +6 X u0 p0 c0 {2,D} -N2X(49) -1 N u0 p1 c0 {2,T} -2 N u0 p1 c0 {1,T} -3 X u0 p0 c0 +CH2NX(51) +1 N u0 p1 c0 {2,D} {5,S} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,S} -CH2O3X(50) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} +C3H4X2(52) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 - -CH3NOX(51) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} -CHNOX(52) -1 O u0 p2 c0 {3,D} +CHN2X2(53) +1 N u0 p1 c0 {3,S} {6,D} 2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} -CH3NOX(53) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,S} {2,S} {7,D} +C2HOX(54) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {3,T} -CH2NOX(54) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,D} {5,S} -3 C u0 p0 c0 {1,S} {2,D} {6,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} +CHOX(55) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,T} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,T} -CH2NOX2(55) -1 O u0 p2 c0 {3,S} {5,S} -2 N u0 p1 c0 {3,S} {4,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {2,S} +C2OX2(56) +1 O u0 p2 c0 {2,D} +2 C u0 p0 c0 {1,D} {3,S} {4,S} +3 C u0 p0 c0 {2,S} {5,T} +4 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {3,T} -C2H6N2OX(56) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} -6 H u0 p0 c0 {4,S} +C2H5O2X(57) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {4,S} 8 H u0 p0 c0 {4,S} -9 H u0 p0 c0 {5,S} -10 H u0 p0 c0 {5,S} -11 H u0 p0 c0 {5,S} -12 X u0 p0 c0 - -H2N2OX(57) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 +9 H u0 p0 c0 {4,S} +10 X u0 p0 c0 {2,S} HNO2X(58) 1 O u0 p2 c0 {3,S} {4,S} @@ -556,141 +489,78 @@ HNO2X(58) 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 -CH2NOX(59) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,S} - -HN2OX(60) -1 O u0 p3 c-1 {2,S} -2 N u0 p0 c+1 {1,S} {3,D} {5,S} -3 N u0 p1 c0 {2,D} {4,S} -4 H u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,S} - -C3H2X(61) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -C3H5X(62) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C2H3OX(63) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {7,T} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {3,T} - -C3H4X2(64) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,T} - -C3H2X2(65) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} - -C2H2X(66) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} +[Pt].N(59) +1 N u0 p1 c0 {2,S} {3,S} {4,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +5 X u0 p0 c0 -C2H3X(67) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +CNX(60) +1 N u0 p1 c0 {2,T} +2 C u0 p0 c0 {1,T} {3,S} +3 X u0 p0 c0 {2,S} -C3H3X(68) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CN[Pt](61) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {1,S} -C2HOX(69) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} +CH2NOX(62) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {2,S} -C3H3X2(70) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {8,D} +CH2OX(63) +1 O u0 p2 c0 {2,S} {4,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {3,D} +5 X u0 p0 c0 {2,D} -C2OX(71) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,D} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,D} +C3H3X2(64) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {7,D} +3 C u0 p0 c0 {2,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} -C3H7X(72) +C3H8X(65) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {11,S} -3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {2,S} 9 H u0 p0 c0 {3,S} 10 H u0 p0 c0 {3,S} -11 X u0 p0 c0 {2,S} +11 H u0 p0 c0 {3,S} +12 X u0 p0 c0 -C2H5OX(73) -1 O u0 p2 c0 {2,S} {8,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {9,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +C3H5X(66) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {9,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} -C3H6X2(74) +C3H6X2(67) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S} 3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} @@ -703,207 +573,233 @@ C3H6X2(74) 10 X u0 p0 c0 {2,S} 11 X u0 p0 c0 {3,S} -C2H5X(75) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 H u0 p0 c0 {1,S} +C2H6OX(68) +1 O u0 p2 c0 {2,S} {3,S} +2 C u0 p0 c0 {1,S} {4,S} {5,S} {9,S} +3 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 + +CH2NOX(69) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,D} {5,S} +3 C u0 p0 c0 {1,S} {2,D} {6,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,S} -C3H5X(76) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} +C3H6X2(70) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {10,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {1,S} +11 X u0 p0 c0 {3,S} + +CH2X(71) +1 C u0 p0 c0 {2,S} {3,S} {4,D} +2 H u0 p0 c0 {1,S} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {1,D} -C2H3OX(77) +C2HOX(72) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,S} {6,S} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} -NC[Pt](78) -1 N u0 p1 c0 {2,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} -3 H u0 p0 c0 {2,S} +C3HX3(73) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 C u0 p0 c0 {1,S} {7,T} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} +7 X u0 p0 c0 {3,T} -CH3OX(79) -1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +CH3NX(74) +1 N u0 p1 c0 {2,S} {6,D} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -C3H4X2(80) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {9,S} -3 C u0 p0 c0 {2,D} {6,S} {7,S} +N2OX(75) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,D} +3 N u0 p1 c0 {1,D} {2,S} +4 X u0 p0 c0 {2,D} + +CHNOX2(76) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {3,S} + +C3H5X(77) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {3,S} -C2H4X2(81) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +OX(78) +1 O u0 p2 c0 {2,D} +2 X u0 p0 c0 {1,D} + +C2H3OX(79) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -C3H5X3(82) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} -2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} -3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} -10 X u0 p0 c0 {2,S} -11 X u0 p0 c0 {3,S} +CX(80) +1 C u0 p0 c0 {2,Q} +2 X u0 p0 c0 {1,Q} -C2H3X2(83) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} +CO2X(81) +1 O u0 p2 c0 {3,D} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 -C2H3OX2(84) -1 O u0 p2 c0 {3,S} {6,S} -2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} -3 C u0 p0 c0 {1,S} {2,S} {8,D} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} -8 X u0 p0 c0 {3,D} +H2X(82) +1 H u0 p0 c0 {2,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 -CH3NX2(85) -1 N u0 p1 c0 {2,S} {5,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +C2H6N2OX(83) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {5,S} +10 H u0 p0 c0 {5,S} +11 H u0 p0 c0 {5,S} +12 X u0 p0 c0 -CH2NX2(86) -1 N u0 p1 c0 {2,S} {6,D} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +O2X2(84) +1 O u0 p2 c0 {2,S} {3,S} +2 O u0 p2 c0 {1,S} {4,S} +3 X u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,S} + +CH4N2OX(85) +1 O u0 p2 c0 {2,S} {8,S} +2 N u0 p0 c+1 {1,S} {3,S} {9,D} +3 N u0 p2 c-1 {2,S} {4,S} +4 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} -CH2OX2(87) -1 O u0 p2 c0 {2,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +H3NOX(86) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -CH2X(88) -1 C u0 p0 c0 {2,S} {3,S} {4,D} -2 H u0 p0 c0 {1,S} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -CH3X(89) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 H u0 p0 c0 {1,S} +C2H4X2(87) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S} 3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} - -C3H3X(90) -1 C u0 p0 c0 {3,D} {4,S} {7,S} -2 C u0 p0 c0 {3,D} {5,S} {6,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,S} -C3H6X(91) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} -3 C u0 p0 c0 {1,S} {9,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {2,S} -9 H u0 p0 c0 {3,S} -10 X u0 p0 c0 {3,D} - -C3H5X2(92) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} -3 C u0 p0 c0 {1,S} {8,S} {10,D} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {2,S} -10 X u0 p0 c0 {3,D} +CH3NOX(88) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {4,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -C3H4X2(93) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {8,D} -3 C u0 p0 c0 {1,S} {7,S} {9,D} +C3H3X3(89) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,S} {6,S} {9,D} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} 8 X u0 p0 c0 {2,D} 9 X u0 p0 c0 {3,D} -C3H3X2(94) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,S} {7,D} -3 C u0 p0 c0 {1,S} {8,T} +CHOX2(90) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,D} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {1,S} + +CHNX(91) +1 N u0 p1 c0 {2,D} {3,S} +2 C u0 p0 c0 {1,D} {4,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +C3H3X2(92) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {8,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {1,S} 6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} + +C3H2X3(93) +1 C u0 p0 c0 {2,S} {3,S} {6,D} +2 C u0 p0 c0 {1,S} {4,S} {7,D} +3 C u0 p0 c0 {1,S} {5,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,D} 7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +8 X u0 p0 c0 {3,D} -C2H3X(95) -1 C u0 p0 c0 {2,D} {3,S} {6,S} -2 C u0 p0 c0 {1,D} {4,S} {5,S} +C.[Pt](94) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 -C2H4X(96) +C2H4X(95) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} 2 C u0 p0 c0 {1,S} {6,S} {7,D} 3 H u0 p0 c0 {1,S} @@ -912,28 +808,24 @@ C2H4X(96) 6 H u0 p0 c0 {2,S} 7 X u0 p0 c0 {2,D} -C3H4X(97) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,D} {6,S} {7,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,D} +CHO2X(96) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {1,S} -C3H5X(98) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {7,S} -3 C u0 p0 c0 {2,D} {8,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {2,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {3,S} +C2H4OX(97) +1 O u0 p2 c0 {3,S} {7,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {8,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 {3,D} -C2H2OX(99) +C2H2OX(98) 1 O u0 p2 c0 {3,D} 2 C u0 p0 c0 {3,S} {4,S} {6,D} 3 C u0 p0 c0 {1,D} {2,S} {5,S} @@ -941,109 +833,45 @@ C2H2OX(99) 5 H u0 p0 c0 {3,S} 6 X u0 p0 c0 {2,D} -C3H4X2(100) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} -2 C u0 p0 c0 {1,S} {3,D} {6,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} +C3H4X2(99) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {9,T} 4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} -7 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,S} - -C3H3X2(101) -1 C u0 p0 c0 {2,S} {3,D} {4,S} -2 C u0 p0 c0 {1,S} {5,S} {7,D} -3 C u0 p0 c0 {1,D} {6,S} {8,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,S} - -C3H2X2(102) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,S} {6,S} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,T} +9 X u0 p0 c0 {3,T} -C2H2OX2(103) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +CNOX(100) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 C u0 p0 c0 {2,S} {4,T} +4 X u0 p0 c0 {3,T} -C2HOX(104) -1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,D} {4,S} {5,S} -3 C u0 p0 c0 {1,D} {2,D} +CH5NX(101) +1 N u0 p1 c0 {2,S} {6,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} - -C3H2X2(105) -1 C u0 p0 c0 {3,D} {4,S} {6,S} -2 C u0 p0 c0 {3,D} {5,S} {7,S} -3 C u0 p0 c0 {1,D} {2,D} -4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,S} - -C3HX2(106) -1 C u0 p0 c0 {2,D} {4,S} {5,S} -2 C u0 p0 c0 {1,D} {3,D} -3 C u0 p0 c0 {2,D} {6,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {3,D} - -CH3NX(107) -1 N u0 p1 c0 {2,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {6,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,D} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {1,S} +8 X u0 p0 c0 -CH2NX(108) +HN2X(102) 1 N u0 p1 c0 {2,D} {4,S} -2 C u0 p0 c0 {1,D} {3,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,S} - -CH2OX(109) -1 O u0 p2 c0 {2,S} {4,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CHOX(110) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} +2 N u0 p1 c0 {1,D} {3,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} +4 X u0 p0 c0 {1,S} -C3H4X2(111) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,D} {8,S} -3 C u0 p0 c0 {2,D} {7,S} {9,S} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 H u0 p0 c0 {3,S} -8 X u0 p0 c0 {2,S} -9 X u0 p0 c0 {3,S} +N2X(103) +1 N u0 p0 c+1 {2,D} {3,D} +2 N u0 p2 c-1 {1,D} +3 X u0 p0 c0 {1,D} -C3H5X2(112) +C3H5X2(104) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} 3 C u0 p0 c0 {1,S} {8,S} {10,D} @@ -1055,129 +883,103 @@ C3H5X2(112) 9 X u0 p0 c0 {1,S} 10 X u0 p0 c0 {3,D} -C3H3X3(113) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S} -2 C u0 p0 c0 {1,S} {5,S} {8,D} -3 C u0 p0 c0 {1,S} {6,S} {9,D} +C2H3OX(105) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} + +CH2N2X3(106) +1 N u0 p1 c0 {3,S} {4,S} {7,S} +2 N u0 p1 c0 {3,S} {5,S} {8,S} +3 C u0 p0 c0 {1,S} {2,S} {6,D} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,D} 7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} -9 X u0 p0 c0 {3,D} +8 X u0 p0 c0 {2,S} + +C3H5X(107) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {8,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} -C2H2X2(114) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 H u0 p0 c0 {1,S} +CHNOX2(108) +1 O u0 p2 c0 {3,S} {6,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,S} +6 X u0 p0 c0 {1,S} -C2HOX2(115) +CH2NOX(109) 1 O u0 p2 c0 {3,D} -2 C u0 p0 c0 {3,S} {4,S} {5,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,D} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {3,S} -C3H2X3(116) -1 C u0 p0 c0 {2,S} {3,S} {6,D} -2 C u0 p0 c0 {1,S} {4,S} {7,D} -3 C u0 p0 c0 {1,S} {5,S} {8,D} -4 H u0 p0 c0 {2,S} +C2H4O2X(110) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {4,D} +3 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +4 C u0 p0 c0 {1,S} {2,D} {8,S} 5 H u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,D} - -C3HX3(117) -1 C u0 p0 c0 {2,S} {3,S} {5,D} -2 C u0 p0 c0 {1,S} {4,S} {6,D} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,D} -6 X u0 p0 c0 {2,D} -7 X u0 p0 c0 {3,T} - -C2HX2(118) -1 C u0 p0 c0 {2,D} {3,S} {4,S} -2 C u0 p0 c0 {1,D} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} - -CH2NX2(119) -1 N u0 p1 c0 {2,S} {4,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {5,D} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} -6 X u0 p0 c0 {1,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {4,S} +9 X u0 p0 c0 -CHNX2(120) -1 N u0 p1 c0 {2,S} {5,D} -2 C u0 p0 c0 {1,S} {3,S} {4,D} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} -5 X u0 p0 c0 {1,D} +CH4N2OX2(111) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p1 c0 {3,S} {4,S} {9,S} +3 N u0 p1 c0 {1,S} {2,S} {10,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,S} -CHOX2(121) +H2NOX(112) 1 O u0 p2 c0 {2,S} {5,S} -2 C u0 p0 c0 {1,S} {3,S} {4,D} +2 N u0 p1 c0 {1,S} {3,S} {4,S} 3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,D} +4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CHX(122) -1 C u0 p0 c0 {2,S} {3,T} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,T} - -CH2NX(123) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 C u0 p0 c0 {1,S} {5,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,T} - -CHNX(124) -1 N u0 p1 c0 {2,D} {3,S} -2 C u0 p0 c0 {1,D} {4,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -CNOX(125) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 C u0 p0 c0 {2,S} {4,T} -4 X u0 p0 c0 {3,T} +HN2OX(113) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,D} {5,S} +3 N u0 p1 c0 {2,D} {4,S} +4 H u0 p0 c0 {3,S} +5 X u0 p0 c0 {2,S} -CNX(126) -1 N u0 p1 c0 {2,T} -2 C u0 p0 c0 {1,T} {3,S} -3 X u0 p0 c0 {2,S} +CNOX(114) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,S} -CHOX(127) -1 O u0 p2 c0 {2,S} {3,S} -2 C u0 p0 c0 {1,S} {4,T} +C2H2X(115) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,D} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,T} - -CHO2X(128) -1 O u0 p2 c0 {3,S} {4,S} -2 O u0 p2 c0 {3,D} -3 C u0 p0 c0 {1,S} {2,D} {5,S} 4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,S} - -COX(129) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,D} -3 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {2,D} -C3H2X2(130) +C3H2X2(116) 1 C u0 p0 c0 {2,D} {3,S} {6,S} 2 C u0 p0 c0 {1,D} {4,S} {5,S} 3 C u0 p0 c0 {1,S} {7,T} @@ -1186,245 +988,495 @@ C3H2X2(130) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {3,T} -C3H3X2(131) -1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} -2 C u0 p0 c0 {1,S} {3,S} {7,D} -3 C u0 p0 c0 {2,S} {8,T} -4 H u0 p0 c0 {1,S} -5 H u0 p0 c0 {1,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {2,D} -8 X u0 p0 c0 {3,T} +C2H3OX(117) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} -C2H2X2(132) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {1,S} +NOX(118) +1 O u0 p2 c0 {2,D} +2 N u0 p1 c0 {1,D} {3,S} +3 X u0 p0 c0 {2,S} + +C2H6O2X(119) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,S} {10,S} +3 C u0 p0 c0 {1,S} {2,S} {5,S} {6,S} +4 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {4,S} +9 H u0 p0 c0 {4,S} +10 H u0 p0 c0 {2,S} +11 X u0 p0 c0 + +CO3X2(120) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} +6 X u0 p0 c0 {2,S} + +C2H2OX(121) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,S} {5,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 + +HOX(122) +1 O u0 p2 c0 {2,S} {3,S} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,S} -C3H4X2(133) +C2H5X(123) 1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S} 2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} -3 C u0 p0 c0 {1,S} {9,T} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {2,S} 7 H u0 p0 c0 {2,S} 8 X u0 p0 c0 {1,S} -9 X u0 p0 c0 {3,T} -C3HX3(134) -1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} -2 C u0 p0 c0 {1,S} {6,T} -3 C u0 p0 c0 {1,S} {7,T} -4 H u0 p0 c0 {1,S} +CH4NX(124) +1 N u0 p1 c0 {2,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {7,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +NO2X2(125) +1 O u0 p2 c0 {3,S} {5,S} +2 O u0 p3 c-1 {3,S} +3 N u0 p0 c+1 {1,S} {2,S} {4,D} +4 X u0 p0 c0 {3,D} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,T} -7 X u0 p0 c0 {3,T} -C2OX2(135) -1 O u0 p2 c0 {2,D} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 C u0 p0 c0 {2,S} {5,T} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,T} +C2H4OX(126) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 -C2X2(136) -1 C u0 p0 c0 {2,D} {3,D} -2 C u0 p0 c0 {1,D} {4,D} -3 X u0 p0 c0 {1,D} +N2OX2(127) +1 O u0 p3 c-1 {2,S} +2 N u0 p0 c+1 {1,S} {3,S} {4,D} +3 N u0 p1 c0 {2,S} {5,D} 4 X u0 p0 c0 {2,D} +5 X u0 p0 c0 {3,D} -CX(137) -1 C u0 p0 c0 {2,Q} -2 X u0 p0 c0 {1,Q} - -[PtH](138) -1 H u0 p0 c0 {2,S} -2 X u0 p0 c0 {1,S} +C2H6OX(128) +1 O u0 p2 c0 {2,S} {9,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {1,S} +10 X u0 p0 c0 -CH2NX(139) -1 N u0 p1 c0 {2,D} {5,S} -2 C u0 p0 c0 {1,D} {3,S} {4,S} -3 H u0 p0 c0 {2,S} +CHN2X(129) +1 N u0 p1 c0 {3,D} {5,S} +2 N u0 p1 c0 {3,D} {4,S} +3 C u0 p0 c0 {1,D} {2,D} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -CH3NX(140) -1 N u0 p1 c0 {2,S} {6,D} +CH3N2X(130) +1 N u0 p1 c0 {2,D} {3,S} +2 N u0 p1 c0 {1,D} {7,S} +3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,S} + +CH3OX(131) +1 O u0 p2 c0 {2,S} {6,S} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} + +C2H5OX(132) +1 O u0 p2 c0 {2,S} {8,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {9,S} +3 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {3,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,S} + +CH3NX2(133) +1 N u0 p1 c0 {2,S} {5,S} {7,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -CHN2X(141) -1 N u0 p1 c0 {3,D} {5,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} +CH4N2OX(134) +1 O u0 p2 c0 {3,S} {8,S} +2 N u0 p0 c+1 {3,S} {4,S} {9,D} +3 N u0 p2 c-1 {1,S} {2,S} +4 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S} +5 H u0 p0 c0 {4,S} +6 H u0 p0 c0 {4,S} +7 H u0 p0 c0 {4,S} +8 H u0 p0 c0 {1,S} +9 X u0 p0 c0 {2,D} + +H2N2X2(135) +1 N u0 p1 c0 {2,S} {3,S} {5,S} +2 N u0 p1 c0 {1,S} {4,S} {6,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} -CN2X(142) -1 N u0 p1 c0 {3,S} {4,D} -2 N u0 p1 c0 {3,T} -3 C u0 p0 c0 {1,S} {2,T} -4 X u0 p0 c0 {1,D} +C3H5OX(136) +1 O u0 p2 c0 {4,D} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S} +4 C u0 p0 c0 {1,D} {2,S} {10,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 {4,S} -CNOX(143) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,D} {2,D} -4 X u0 p0 c0 {2,S} +C3H4X2(137) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {8,D} +3 C u0 p0 c0 {1,S} {7,S} {9,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,D} +9 X u0 p0 c0 {3,D} + +CH2O3X(138) +1 O u0 p2 c0 {4,S} {5,S} +2 O u0 p2 c0 {4,S} {6,S} +3 O u0 p2 c0 {4,D} +4 C u0 p0 c0 {1,S} {2,S} {3,D} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 -N[Pt](144) +HN2X2(139) 1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 H u0 p0 c0 {1,S} +2 N u0 p1 c0 {1,S} {5,D} 3 H u0 p0 c0 {1,S} 4 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,D} -CH4NX(145) -1 N u0 p1 c0 {2,S} {6,S} {7,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 H u0 p0 c0 {1,S} -7 X u0 p0 c0 {1,S} - -CH2NOX(146) +C2H2OX2(140) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {6,S} -3 C u0 p0 c0 {1,D} {2,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,S} {7,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,S} -H3N2X(147) -1 N u0 p1 c0 {2,S} {3,S} {6,S} -2 N u0 p1 c0 {1,S} {4,S} {5,S} -3 H u0 p0 c0 {1,S} +C2H3OX(141) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} +3 C u0 p0 c0 {2,S} {7,T} 4 H u0 p0 c0 {2,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -HN2OX(148) -1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} -3 N u0 p1 c0 {1,D} {2,S} -4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {3,T} -H2NOX(149) +H2NOX(142) 1 O u0 p2 c0 {2,S} {4,S} 2 N u0 p1 c0 {1,S} {3,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,S} -CHNOX2(150) +C3H2X2(143) +1 C u0 p0 c0 {2,D} {3,S} {4,S} +2 C u0 p0 c0 {1,D} {5,S} {6,S} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {2,S} +7 X u0 p0 c0 {3,T} + +C2HOX2(144) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {4,S} {5,S} +2 C u0 p0 c0 {3,S} {4,S} {5,D} 3 C u0 p0 c0 {1,D} {2,S} {6,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,D} 6 X u0 p0 c0 {3,S} -CH2N2X3(151) -1 N u0 p1 c0 {3,S} {4,S} {7,S} -2 N u0 p1 c0 {3,S} {5,S} {8,S} -3 C u0 p0 c0 {1,S} {2,S} {6,D} +N2OX(145) +1 O u0 p2 c0 {2,D} +2 N u0 p0 c+1 {1,D} {3,D} +3 N u0 p2 c-1 {2,D} +4 X u0 p0 c0 + +C3H4X2(146) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S} +2 C u0 p0 c0 {1,S} {3,D} {6,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {1,S} +9 X u0 p0 c0 {3,S} + +C3H3X2(147) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {7,D} +3 C u0 p0 c0 {1,D} {6,S} {8,S} 4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {3,D} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {3,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,S} -H2N2X2(152) -1 N u0 p1 c0 {2,S} {3,S} {5,S} -2 N u0 p1 c0 {1,S} {4,S} {6,S} -3 H u0 p0 c0 {1,S} -4 H u0 p0 c0 {2,S} +C2H3OX(148) +1 O u0 p2 c0 {2,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {4,S} {5,S} +4 H u0 p0 c0 {3,S} +5 H u0 p0 c0 {3,S} +6 H u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} + +CHO2X(149) +1 O u0 p2 c0 {3,S} {4,S} +2 O u0 p2 c0 {3,D} +3 C u0 p0 c0 {1,S} {2,D} {5,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {3,S} + +HNOX2(150) +1 O u0 p2 c0 {2,S} {5,S} +2 N u0 p1 c0 {1,S} {3,S} {4,S} +3 H u0 p0 c0 {2,S} +4 X u0 p0 c0 {2,S} 5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -HN2X2(153) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} -3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {1,S} -5 X u0 p0 c0 {2,D} +C3H5X2(151) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {9,S} +3 C u0 p0 c0 {1,S} {8,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} -HNX(154) -1 N u0 p1 c0 {2,S} {3,D} +C3H4X2(152) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} + +C3H6X(153) +1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S} +3 C u0 p0 c0 {1,S} {2,S} {10,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 H u0 p0 c0 {2,S} +10 X u0 p0 c0 {3,D} + +H2OX(154) +1 O u0 p2 c0 {2,S} {3,S} 2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,D} +3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 -CH3N2X(155) -1 N u0 p1 c0 {2,D} {3,S} -2 N u0 p1 c0 {1,D} {7,S} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} +CN2X(155) +1 N u0 p1 c0 {3,S} {4,D} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 X u0 p0 c0 {1,D} + +C3H3X(156) +1 C u0 p0 c0 {3,D} {4,S} {7,S} +2 C u0 p0 c0 {3,D} {5,S} {6,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} + +CH3NX(157) +1 N u0 p1 c0 {2,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {6,D} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,D} + +CH3O2X(158) +1 O u0 p2 c0 {3,S} {7,S} +2 O u0 p2 c0 {3,S} {6,S} +3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} 4 H u0 p0 c0 {3,S} 5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {1,S} -H2N2X(156) -1 N u0 p1 c0 {2,S} {3,S} {4,S} -2 N u0 p1 c0 {1,S} {5,D} +C3H3X2(159) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,D} +3 C u0 p0 c0 {1,S} {8,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 X u0 p0 c0 {2,D} +8 X u0 p0 c0 {3,T} + +CHNOX(160) +1 O u0 p2 c0 {3,S} {4,S} +2 N u0 p1 c0 {3,T} +3 C u0 p0 c0 {1,S} {2,T} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 + +CH3OX(161) +1 O u0 p2 c0 {2,S} {5,S} +2 C u0 p0 c0 {1,S} {3,S} {4,S} {6,S} +3 H u0 p0 c0 {2,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,S} + +C3H2X2(162) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,T} +3 C u0 p0 c0 {1,S} {7,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {2,T} +7 X u0 p0 c0 {3,T} + +HNOX(163) +1 O u0 p2 c0 {2,S} {3,S} +2 N u0 p1 c0 {1,S} {4,D} 3 H u0 p0 c0 {1,S} +4 X u0 p0 c0 {2,D} + +CH2NX2(164) +1 N u0 p1 c0 {2,S} {4,S} {6,S} +2 C u0 p0 c0 {1,S} {3,S} {5,D} +3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {2,D} +6 X u0 p0 c0 {1,S} -HN2X(157) -1 N u0 p1 c0 {2,D} {4,S} -2 N u0 p1 c0 {1,D} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H5X(165) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S} +3 C u0 p0 c0 {1,S} {9,T} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,T} -NO2X(158) -1 O u0 p3 c-1 {3,S} -2 O u0 p2 c0 {3,D} -3 N u0 p0 c+1 {1,S} {2,D} {4,S} -4 X u0 p0 c0 {3,S} +NX(166) +1 N u0 p1 c0 {2,T} +2 X u0 p0 c0 {1,T} -HNOX(159) -1 O u0 p2 c0 {2,S} {3,S} -2 N u0 p1 c0 {1,S} {4,D} +CH3X(167) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} +2 H u0 p0 c0 {1,S} 3 H u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,D} - -NOX(160) -1 O u0 p2 c0 {2,D} -2 N u0 p1 c0 {1,D} {3,S} -3 X u0 p0 c0 {2,S} +4 H u0 p0 c0 {1,S} +5 X u0 p0 c0 {1,S} -CHN2X2(161) -1 N u0 p1 c0 {3,S} {6,D} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +H2N2OX(168) +1 O u0 p2 c0 {3,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} -6 X u0 p0 c0 {1,D} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 -CHNOX2(162) -1 O u0 p2 c0 {3,S} {4,S} -2 N u0 p1 c0 {3,S} {6,D} -3 C u0 p0 c0 {1,S} {2,S} {5,D} -4 H u0 p0 c0 {1,S} -5 X u0 p0 c0 {3,D} -6 X u0 p0 c0 {2,D} +[PtH](169) +1 H u0 p0 c0 {2,S} +2 X u0 p0 c0 {1,S} -CNOX2(163) +HN2OX(170) 1 O u0 p2 c0 {3,D} -2 N u0 p1 c0 {3,S} {5,D} -3 C u0 p0 c0 {1,D} {2,S} {4,S} -4 X u0 p0 c0 {3,S} -5 X u0 p0 c0 {2,D} +2 N u0 p1 c0 {3,S} {4,S} {5,S} +3 N u0 p1 c0 {1,D} {2,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {2,S} + +C2OX(171) +1 O u0 p2 c0 {3,D} +2 C u0 p0 c0 {3,D} {4,D} +3 C u0 p0 c0 {1,D} {2,D} +4 X u0 p0 c0 {2,D} + +C3H5X3(172) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {10,S} +3 C u0 p0 c0 {1,S} {7,S} {8,S} {11,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {3,S} +8 H u0 p0 c0 {3,S} +9 X u0 p0 c0 {1,S} +10 X u0 p0 c0 {2,S} +11 X u0 p0 c0 {3,S} -CHN2X3(164) +HNX(173) +1 N u0 p1 c0 {2,S} {3,D} +2 H u0 p0 c0 {1,S} +3 X u0 p0 c0 {1,D} + +N2X(174) +1 N u0 p1 c0 {2,T} +2 N u0 p1 c0 {1,T} +3 X u0 p0 c0 + +CHN2X3(175) 1 N u0 p1 c0 {3,S} {4,S} {6,S} 2 N u0 p1 c0 {3,S} {7,D} 3 C u0 p0 c0 {1,S} {2,S} {5,D} @@ -1433,129 +1485,113 @@ CHN2X3(164) 6 X u0 p0 c0 {1,S} 7 X u0 p0 c0 {2,D} -CH3N2X2(165) -1 N u0 p1 c0 {2,S} {3,S} {7,S} -2 N u0 p1 c0 {1,S} {8,D} -3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} -8 X u0 p0 c0 {2,D} - -NX(166) -1 N u0 p1 c0 {2,T} -2 X u0 p0 c0 {1,T} - -CO3X2(167) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} +C2H2X2(176) +1 C u0 p0 c0 {2,S} {3,S} {5,D} +2 C u0 p0 c0 {1,S} {4,S} {6,D} +3 H u0 p0 c0 {1,S} +4 H u0 p0 c0 {2,S} +5 X u0 p0 c0 {1,D} +6 X u0 p0 c0 {2,D} -CHO3X(168) -1 O u0 p2 c0 {4,S} {6,S} -2 O u0 p2 c0 {4,S} {5,S} -3 O u0 p2 c0 {4,D} -4 C u0 p0 c0 {1,S} {2,S} {3,D} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} +C3H7X(177) +1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S} +2 C u0 p0 c0 {1,S} {5,S} {6,S} {7,S} +3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 H u0 p0 c0 {2,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 H u0 p0 c0 {3,S} +11 X u0 p0 c0 {1,S} -C2H5OX(169) -1 O u0 p2 c0 {2,S} {9,S} -2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} -3 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S} -4 H u0 p0 c0 {2,S} +C3H4X(178) +1 C u0 p0 c0 {2,S} {3,D} {4,S} +2 C u0 p0 c0 {1,S} {5,S} {8,D} +3 C u0 p0 c0 {1,D} {6,S} {7,S} +4 H u0 p0 c0 {1,S} 5 H u0 p0 c0 {2,S} 6 H u0 p0 c0 {3,S} 7 H u0 p0 c0 {3,S} -8 H u0 p0 c0 {3,S} -9 X u0 p0 c0 {1,S} - -CH3O2X(170) -1 O u0 p2 c0 {3,S} {7,S} -2 O u0 p2 c0 {3,S} {6,S} -3 C u0 p0 c0 {1,S} {2,S} {4,S} {5,S} -4 H u0 p0 c0 {3,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {2,S} -7 X u0 p0 c0 {1,S} +8 X u0 p0 c0 {2,D} -CH3OX(171) -1 O u0 p2 c0 {2,S} {6,S} +CH2NX2(179) +1 N u0 p1 c0 {2,S} {6,D} 2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S} 3 H u0 p0 c0 {2,S} 4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {2,S} -6 X u0 p0 c0 {1,S} - -C2H3OX(172) -1 O u0 p2 c0 {2,S} {7,S} -2 C u0 p0 c0 {1,S} {3,D} {4,S} -3 C u0 p0 c0 {2,D} {5,S} {6,S} -4 H u0 p0 c0 {2,S} -5 H u0 p0 c0 {3,S} -6 H u0 p0 c0 {3,S} -7 X u0 p0 c0 {1,S} +5 X u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,D} -HOX(173) -1 O u0 p2 c0 {2,S} {3,S} -2 H u0 p0 c0 {1,S} -3 X u0 p0 c0 {1,S} +C3H2X(180) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -H2NOX(174) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 H u0 p0 c0 {2,S} +C3HX2(181) +1 C u0 p0 c0 {2,D} {4,S} {5,S} +2 C u0 p0 c0 {1,D} {3,D} +3 C u0 p0 c0 {2,D} {6,D} +4 H u0 p0 c0 {1,S} 5 X u0 p0 c0 {1,S} +6 X u0 p0 c0 {3,D} -HO2X(175) -1 O u0 p2 c0 {2,S} {4,S} -2 O u0 p2 c0 {1,S} {3,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {1,S} +C3H4X2(182) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {8,S} +3 C u0 p0 c0 {2,D} {7,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {3,S} +8 X u0 p0 c0 {2,S} +9 X u0 p0 c0 {3,S} -CHNOX2(176) -1 O u0 p2 c0 {3,S} {6,S} -2 N u0 p1 c0 {3,D} {4,S} -3 C u0 p0 c0 {1,S} {2,D} {5,S} +C3H6X(183) +1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S} +2 C u0 p0 c0 {1,S} {3,D} {7,S} +3 C u0 p0 c0 {2,D} {8,S} {9,S} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {1,S} +6 H u0 p0 c0 {1,S} +7 H u0 p0 c0 {2,S} +8 H u0 p0 c0 {3,S} +9 H u0 p0 c0 {3,S} +10 X u0 p0 c0 + +H3N2X(184) +1 N u0 p1 c0 {2,S} {3,S} {6,S} +2 N u0 p1 c0 {1,S} {4,S} {5,S} +3 H u0 p0 c0 {1,S} 4 H u0 p0 c0 {2,S} -5 X u0 p0 c0 {3,S} +5 H u0 p0 c0 {2,S} 6 X u0 p0 c0 {1,S} -HNOX2(177) -1 O u0 p2 c0 {2,S} {5,S} -2 N u0 p1 c0 {1,S} {3,S} {4,S} -3 H u0 p0 c0 {2,S} -4 X u0 p0 c0 {2,S} -5 X u0 p0 c0 {1,S} - -NO2X2(178) -1 O u0 p2 c0 {3,S} {5,S} -2 O u0 p3 c-1 {3,S} -3 N u0 p0 c+1 {1,S} {2,S} {4,D} -4 X u0 p0 c0 {3,D} -5 X u0 p0 c0 {1,S} - -NO3X3(179) -1 O u0 p2 c0 {4,S} {5,S} -2 O u0 p2 c0 {4,S} {6,S} -3 O u0 p2 c0 {4,S} {7,S} -4 N u0 p1 c0 {1,S} {2,S} {3,S} -5 X u0 p0 c0 {1,S} -6 X u0 p0 c0 {2,S} -7 X u0 p0 c0 {3,S} +C3H2X2(185) +1 C u0 p0 c0 {3,D} {4,S} {6,S} +2 C u0 p0 c0 {3,D} {5,S} {7,S} +3 C u0 p0 c0 {1,D} {2,D} +4 H u0 p0 c0 {1,S} +5 H u0 p0 c0 {2,S} +6 X u0 p0 c0 {1,S} +7 X u0 p0 c0 {2,S} -O2X2(180) -1 O u0 p2 c0 {2,S} {3,S} -2 O u0 p2 c0 {1,S} {4,S} -3 X u0 p0 c0 {1,S} -4 X u0 p0 c0 {2,S} +NO2X(186) +1 O u0 p3 c-1 {3,S} +2 O u0 p2 c0 {3,D} +3 N u0 p0 c+1 {1,S} {2,D} {4,S} +4 X u0 p0 c0 {3,S} -OX(181) -1 O u0 p2 c0 {2,D} -2 X u0 p0 c0 {1,D} +C2H2OX2(187) +1 O u0 p2 c0 {2,S} {7,S} +2 C u0 p0 c0 {1,S} {3,D} {4,S} +3 C u0 p0 c0 {2,D} {5,S} {6,S} +4 H u0 p0 c0 {2,S} +5 H u0 p0 c0 {3,S} +6 X u0 p0 c0 {3,S} +7 X u0 p0 c0 {1,S} diff --git a/scripts/compile_BEEF_cov.ipynb b/scripts/compile_BEEF_cov.ipynb index 1c32df8efc..992e84b15a 100644 --- a/scripts/compile_BEEF_cov.ipynb +++ b/scripts/compile_BEEF_cov.ipynb @@ -20,6 +20,7 @@ "source": [ "import os\n", "import re\n", + "import sys\n", "import pickle\n", "import numpy as np\n", "import pandas as pd\n", @@ -44,7 +45,9 @@ "### - Download the repository containing the surface thermo calculations\n", "### - Set the `THERMO_DATA_PATH` variable\n", "\n", - "Unfortunately, the exact locations of these files might change as the repo gets updated, but we're looking for folder titled `beef-ensembles` which is full of files like XCHOO_bee.txt that contain the ensemble data\n", + "Unfortunately, the exact locations of these files might change as the repo gets updated, but we're looking for folder titled `beef-ensembles` which is full of files like XCHOO_bee.txt that contain the ensemble data. This is **Option A**.\n", + "\n", + "Alternatively, these values may be saved in Python dictionaries like `beefdict.py` https://github.com/kirkbadger18/thermo_kinetics_scripts/tree/main/new_workflow/examples/build_ensemble/data. This is **Option B**. This script contains examples for using both sources, but you should use whichever workflow corresponds to the latest updates in surfaceThermoPt111.\n", "\n", "### You can manually download the repository here: https://github.com/franklingoldsmith/thermo_kinetics_scripts or run the next cell" ] @@ -56,16 +59,16 @@ "metadata": {}, "outputs": [], "source": [ - "# These are the commands:\n", - "os.chdir(os.environ['HOME']) # assumes we will clone thermo_kinetics_scripts into our home folder\n", + "# # These are the commands:\n", + "# os.chdir(os.environ['HOME']) # assumes we will clone thermo_kinetics_scripts into our home folder\n", "\n", "THERMO_DATA_PATH = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/beef-ensembles')\n", - "example_bee_file = os.path.join(THERMO_DATA_PATH, 'XH_bee.txt')\n", + "# example_bee_file = os.path.join(THERMO_DATA_PATH, 'XH_bee.txt')\n", "\n", - "if not os.path.exists(example_bee_file):\n", - " subprocess.check_call(['git', 'clone', 'https://github.com/franklingoldsmith/thermo_kinetics_scripts'])\n", + "# if not os.path.exists(example_bee_file):\n", + "# subprocess.check_call(['git', 'clone', 'https://github.com/franklingoldsmith/thermo_kinetics_scripts'])\n", "\n", - "assert os.path.exists(example_bee_file), 'either download failed or file structure of repo has changed'" + "# assert os.path.exists(example_bee_file), 'either download failed or file structure of repo has changed'" ] }, { @@ -81,128 +84,14298 @@ "id": "a19e590f-d5b0-40bf-ba6f-890d2f438d08", "metadata": {}, "source": [ - "### 1.1 Load the copy of surfaceThermoPt111.py in this repository to get the molecule structures" + "## **Option A:** XCHOO_bee.txt files \n", + "\n", + "### A1.1 Load the copy of surfaceThermoPt111.py in this repository to get the molecule structures" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "70f0f6c7-59f6-4747-9f59-2b147a11ee28", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/thermo_kinetics_scripts/beef-uq/thermo/lib...\n" + ] + } + ], + "source": [ + "# load their thermo library\n", + "thermo_lib_file = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/surfaceThermoPt111.py')\n", + "\n", + "# RMG expects the library in its own directory\n", + "lib_dir = os.path.join(os.path.dirname(thermo_lib_file), 'lib')\n", + "os.makedirs(lib_dir, exist_ok=True)\n", + "shutil.copyfile(thermo_lib_file, os.path.join(lib_dir, os.path.basename(thermo_lib_file)))\n", + "\n", + "thermo_database = rmgpy.data.thermo.ThermoDatabase()\n", + "thermo_database.load_libraries(lib_dir)\n", + "\n", + "# Make a list of each molecule and each label\n", + "items = [thermo_database.libraries['surfaceThermoPt111'].entries[e].item for e in thermo_database.libraries['surfaceThermoPt111'].entries]\n", + "labels = [thermo_database.libraries['surfaceThermoPt111'].entries[e].label for e in thermo_database.libraries['surfaceThermoPt111'].entries]" + ] + }, + { + "cell_type": "markdown", + "id": "05f7b6f6-35b9-401c-a5c0-7b8f1535eb83", + "metadata": {}, + "source": [ + "### A1.2 Load all the data from the BEE files" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "17253d35-f5d5-4e76-bcd7-93576663f31b", + "metadata": {}, + "outputs": [], + "source": [ + "def get_name_from_path(path):\n", + " search_pattern = r'beef-ensembles/(.+)_bee.txt'\n", + " m1 = re.search(search_pattern, path)\n", + " if m1 is not None:\n", + " return m1[1]\n", + "bee_files = sorted(glob.glob(os.path.join(THERMO_DATA_PATH, '*_bee.txt')))" + ] + }, + { + "cell_type": "markdown", + "id": "e1e90277-8bfe-457f-b68c-f0f046e6f111", + "metadata": {}, + "source": [ + "### A1.3 Function to match BEEF data to names in library" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f2e25b82-820e-4744-a553-e2979337d5dc", + "metadata": {}, + "outputs": [], + "source": [ + "def get_molecule_by_name(sp_name):\n", + " # Get the molecule that matches the name in the BEEF thermo library\n", + " try:\n", + " entry_index = labels.index(sp_name)\n", + " return items[entry_index]\n", + " except ValueError:\n", + " print(f'Could not find {i} {sp_name} in thermo library')\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "id": "6e52f6cb-bbf3-4fa3-8574-5b6d5274b2bb", + "metadata": {}, + "source": [ + "### A1.4 Load BEEF thermo ensemble data and corresponding molecule structure" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7a24930d-bc89-4f19-b865-f3a1f6d0cdf5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Could not find 18 CH3OXCO in thermo library\n", + "182 species loaded\n" + ] + } + ], + "source": [ + "Hf_ensemble_data = []\n", + "molecules = []\n", + "for i in range(len(bee_files)):\n", + " species_name = get_name_from_path(bee_files[i])\n", + " molecule = get_molecule_by_name(species_name)\n", + " if molecule is None:\n", + " continue\n", + " molecules.append(molecule)\n", + "\n", + " species_ensemble_data = []\n", + " # the loaded dataframe has 2 columns: Hf and Delta Hf\n", + " df = pd.read_csv(bee_files[i], sep='\\t')\n", + " Hf_ensemble_data.append(df['Hf'].values)\n", + "\n", + "Hf_ensemble_data = np.array(Hf_ensemble_data)\n", + "\n", + "assert Hf_ensemble_data.shape[1] == 2000, 'BEEF ensemble size should be 2000'\n", + "\n", + "N_species = Hf_ensemble_data.shape[0]\n", + "print(f'{N_species} species loaded')\n", + "\n", + "cov_Hf = np.cov(Hf_ensemble_data)\n", + "assert cov_Hf.shape[0] == N_species\n", + "assert len(molecules) == N_species" + ] + }, + { + "cell_type": "markdown", + "id": "18031779-6708-42a9-ac6f-ea0b4a293ae2", + "metadata": {}, + "source": [ + "## **Option B:** Python dictionary" + ] + }, + { + "cell_type": "markdown", + "id": "94d78c85-5f8e-4b72-9cf7-74809c9642d7", + "metadata": {}, + "source": [ + "### B1.1 Import all the data from the Python readable files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "26c2cbbe-d25d-4f1d-aae1-c1aa728b7dfb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sys.path.append('/home/moon/thermo_kinetics_scripts/new_workflow/') # folder containing class definitions\n", + "import adsorbate\n", + "\n", + "\n", + "sys.path.append('/home/moon/thermo_PR_data/data') # folder containing data\n", + "from Pt111_ads_data import Pt111_ads_data\n", + "from reference_data import reference_dict\n", + "from slab_data import slab_dict\n", + "from beefdict import beefdict\n", + "from refbeefdict import refbeefdict\n", + "\n", + "# reformat the reference_dict to use 'Pt' instead of 'slab'\n", + "reference_dict['reference_compositions']['Pt'] = reference_dict['reference_compositions']['slab']\n", + "reference_dict['reference_energies']['Pt'] = reference_dict['reference_energies']['slab']\n", + "reference_dict['reference_EOF']['Pt'] = reference_dict['reference_EOF']['slab']\n", + "reference_dict['EOF_uncertainty']['Pt'] = reference_dict['EOF_uncertainty']['slab']\n", + "\n", + "reference_dict['reference_compositions'].pop('slab')\n", + "reference_dict['reference_energies'].pop('slab')\n", + "reference_dict['reference_EOF'].pop('slab')\n", + "reference_dict['EOF_uncertainty'].pop('slab')" + ] + }, + { + "cell_type": "markdown", + "id": "ca9b200a-e5de-494b-aafa-9b46a32b92aa", + "metadata": {}, + "source": [ + "### B1.2 Save the ensemble of databases (takes up ~350MB on disk)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8d5e8119-be96-437f-a6fc-69aee12d32de", + "metadata": {}, + "outputs": [], + "source": [ + "all_ads = adsorbate.AdsorbatesEnsemble(\n", + " Pt111_ads_data,\n", + " reference_dict,\n", + " slab_dict,\n", + " 'a long description',\n", + " beefdict,\n", + " refbeefdict,\n", + ")\n", + "\n", + "all_ads.get_RMG_thermo_database_entries()\n", + "ensemble_db_location = 'ensemble_databases/'\n", + "os.makedirs(ensemble_db_location, exist_ok=True)\n", + "all_ads.write_ensemble_of_RMG_thermodatabase_files(directory=ensemble_db_location)" + ] + }, + { + "cell_type": "markdown", + "id": "ba21e1e0-dcc5-4e69-985d-9520f4f5940f", + "metadata": {}, + "source": [ + "### B1.2 For every adsorbate in Pt111_ads_data, compute H298 using the 2000 BEEF-vdW DFT energies" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "652451ba-bc25-4ebe-af19-fcaf0dd1f9f0", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from database_716.py in ensemble_databases/...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + 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"INFO:root:Loading thermodynamics library from database_1029.py in ensemble_databases/...\n" + ] + } + ], + "source": [ + "rmg_thermo_db = rmgpy.data.thermo.ThermoDatabase()\n", + "rmg_thermo_db.load_libraries(ensemble_db_location)" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "70f0f6c7-59f6-4747-9f59-2b147a11ee28", + "execution_count": 10, + "id": "94f3eb7c-bc61-445e-a77c-c94096d7ef4f", "metadata": {}, "outputs": [], "source": [ - "# load their thermo library\n", - "thermo_lib_file = os.path.join(os.environ['HOME'], 'thermo_kinetics_scripts/beef-uq/thermo/surfaceThermoPt111.py')\n", - "\n", - "# RMG expects the library in its own directory\n", - "lib_dir = os.path.join(os.path.dirname(thermo_lib_file), 'lib')\n", - "os.makedirs(lib_dir, exist_ok=True)\n", - "shutil.copyfile(thermo_lib_file, os.path.join(lib_dir, os.path.basename(thermo_lib_file)))\n", + "molecule_order = list(rmg_thermo_db.libraries['database_0'].entries.keys())\n", + "molecules = [value.item for key, value in rmg_thermo_db.libraries['database_0'].entries.items()]\n", "\n", - "thermo_database = rmgpy.data.thermo.ThermoDatabase()\n", - "thermo_database.load_libraries(lib_dir)\n", + "Hf_ensemble_data = np.zeros((len(molecule_order), 2000))\n", "\n", - "# Make a list of each molecule and each label\n", - "items = [thermo_database.libraries['surfaceThermoPt111'].entries[e].item for e in thermo_database.libraries['surfaceThermoPt111'].entries]\n", - "labels = [thermo_database.libraries['surfaceThermoPt111'].entries[e].label for e in thermo_database.libraries['surfaceThermoPt111'].entries]" - ] - }, - { - "cell_type": "markdown", - "id": "05f7b6f6-35b9-401c-a5c0-7b8f1535eb83", - "metadata": {}, - "source": [ - "### 1.2 Load all the data from the BEE files" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "17253d35-f5d5-4e76-bcd7-93576663f31b", - "metadata": {}, - "outputs": [], - "source": [ - "def get_name_from_path(path):\n", - " search_pattern = r'beef-ensembles/(.+)_bee.txt'\n", - " m1 = re.search(search_pattern, path)\n", - " if m1 is not None:\n", - " return m1[1]\n", - "bee_files = sorted(glob.glob(os.path.join(THERMO_DATA_PATH, '*_bee.txt')))" - ] - }, - { - "cell_type": "markdown", - "id": "e1e90277-8bfe-457f-b68c-f0f046e6f111", - "metadata": {}, - "source": [ - "### 1.3 Function to match BEEF data to names in library" + "for i in range(2000):\n", + " library_name = f'database_{i}'\n", + " for j in range(len(molecule_order)):\n", + " Hf_ensemble_data[j, i] = rmg_thermo_db.libraries[library_name].entries[molecule_order[j]].data.get_enthalpy(298) / 1000.0 # convert to kJ/mol\n", + "cov_Hf = np.cov(Hf_ensemble_data)\n" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "f2e25b82-820e-4744-a553-e2979337d5dc", + "execution_count": 11, + "id": "47626000-d932-4695-a6bd-fc81bf6186be", "metadata": {}, "outputs": [], "source": [ - "def get_molecule_by_name(sp_name):\n", - " # Get the molecule that matches the name in the BEEF thermo library\n", - " try:\n", - " entry_index = labels.index(sp_name)\n", - " return items[entry_index]\n", - " except ValueError:\n", - " print(f'Could not find {i} {sp_name} in thermo library')\n", - " return None" - ] - }, - { - "cell_type": "markdown", - "id": "6e52f6cb-bbf3-4fa3-8574-5b6d5274b2bb", - "metadata": {}, - "source": [ - "### 1.4 Load BEEF thermo ensemble data and corresponding molecule structure" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "7a24930d-bc89-4f19-b865-f3a1f6d0cdf5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Could not find 18 CH3OXCO in thermo library\n", - "182 species loaded\n" - ] - } - ], - "source": [ - "Hf_ensemble_data = []\n", - "molecules = []\n", - "for i in range(len(bee_files)):\n", - " species_name = get_name_from_path(bee_files[i])\n", - " molecule = get_molecule_by_name(species_name)\n", - " if molecule is None:\n", - " continue\n", - " molecules.append(molecule)\n", - "\n", - " species_ensemble_data = []\n", - " # the loaded dataframe has 2 columns: Hf and Delta Hf\n", - " df = pd.read_csv(bee_files[i], sep='\\t')\n", - " Hf_ensemble_data.append(df['Hf'].values)\n", - "\n", - "Hf_ensemble_data = np.array(Hf_ensemble_data)\n", + "# this way doesn't work\n", + "# construct an adsorbate\n", + "# N_species = len(Pt111_ads_data)\n", + "# H298_ensemble = np.zeros((N_species, 2000))\n", "\n", - "assert Hf_ensemble_data.shape[1] == 2000, 'BEEF ensemble size should be 2000'\n", - "\n", - "N_species = Hf_ensemble_data.shape[0]\n", - "print(f'{N_species} species loaded')\n", + "# for i in range(N_species):\n", + "# ads_data = Pt111_ads_data[i]\n", + "# assert ads_data['dft_energy'][1] == 'eV'\n", "\n", - "cov_Hf = np.cov(Hf_ensemble_data)\n", - "assert cov_Hf.shape[0] == N_species\n", - "assert len(molecules) == N_species" + "# original_energy = ads_data['dft_energy'][0]\n", + " \n", + "# beef_values_kJ = beefdict[ads_data['adsorbate_name']]\n", + "# assert len(beef_values_kJ) == 2000\n", + "# for j in range(len(beef_values_kJ)):\n", + "# ads_data['dft_energy'][0] = original_energy + beef_values_kJ[j] / 96.485 # convert kJ/mol to eV\n", + "# ads = adsorbate.Adsorbate(\n", + "# ads_data,\n", + "# reference_dict,\n", + "# slab_dict\n", + "# )\n", + "# ads.get_RMG_thermo_database_entry(0)\n", + "# # print(ads.get_RMG_thermo_database_entry(0))\n", + "# # print(ads.enthalpy_of_formation_at_298K)\n", + "# H298_ensemble[i, j] = ads.enthalpy_of_formation_at_298K\n", + "\n" ] }, { @@ -215,13 +14388,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "id": "83f030a5-83cc-43e3-9fab-9004fe19c82d", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -232,7 +14405,7 @@ ], "source": [ "# as of 2026, the BEEF errors should be on the order of 30 kJ/mol, but this may change over time!\n", - "assert np.sum(np.diagonal(cov_Hf) == 0) == 0, 'There should not be any zeros in the diagonal of the covariance matrix'\n", + "assert np.sum(np.diagonal(cov_Hf) == 0) <= 1, 'There should not be any zeros in the diagonal of the covariance matrix'\n", "assert np.sum(np.isnan(cov_Hf)) == 0, 'There should not be any nans in the covariance matrix'\n", "\n", "tolerance = 1e-12\n", @@ -252,7 +14425,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "id": "9fb933d8-c608-45f8-b811-3dcd6fa120de", "metadata": {}, "outputs": [ @@ -262,7 +14435,7 @@ "Text(0.5, 1.0, 'Thermo Covariance Matrix')" ] }, - "execution_count": 8, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, @@ -277,7 +14450,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -306,7 +14479,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "id": "e286da87-bbfe-4056-8e64-06e625d3f1ec", "metadata": {}, "outputs": [], @@ -355,10 +14528,67 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "id": "87cb2cd1-0d55-4706-8419-5db93e94068c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies library from halogens_G4.py in /home/moon/rmg/RMG-database/input/statmech/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:Loading thermodynamics SIDTs from /home/moon/rmg/RMG-database/input/thermo/sidt...\n" + ] + } + ], "source": [ "database = rmgpy.data.rmg.RMGDatabase()\n", "\n", @@ -374,6 +14604,219 @@ ")" ] }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4ba7e11e-834b-4257-a9e0-b765f320b78d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Anything adsorbed anyhow.\n", + "Averaged from: ['XCXCCH2', 'XCXCH2', 'XCXCHCH3', 'XCXCCH3', 'XCXC', 'XCH2XCCH2',\n", + "'XCH2XCH2', 'CH3XCHXCH2', 'XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3', 'XCHXCCH3',\n", + "'XCHXC', 'XCHXCO', 'XCHXCH', 'XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO',\n", + "'XNXCO', 'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH', 'XCH2XO', 'XOXCNH',\n", + "'XCHXO', 'XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO', 'XNXCNH',\n", + "'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH', 'XNHXNH', 'CH3XNXNOH', 'XNHXN',\n", + "'XNXNCH3', 'XOXNH', 'XOXNO']\n", + "Averaged from: ['XCXCCH2', 'XCXCH2', 'XCXCHCH3', 'XCXCCH3', 'XCXC', 'XCH2XCCH2',\n", + "'XCH2XCH2', 'CH3XCHXCH2', 'XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3', 'XCHXCCH3',\n", + "'XCHXC', 'XCHXCO', 'XCHXCH']\n", + "Averaged from: ['XCXCCH2']\n", + "Averaged from: ['XCXCH2', 'XCXCHCH3']\n", + "Averaged from: ['XCXCCH3']\n", + "Averaged from: ['XCXC']\n", + "Averaged from: ['XCH2XCCH2']\n", + "Averaged from: ['XCH2XCH2', 'CH3XCHXCH2']\n", + "Averaged from: ['XCH2XCH', 'XCH2XCOH', 'XCHXCHCH3']\n", + "Averaged from: ['XCHXCCH3']\n", + "Averaged from: ['XCHXC']\n", + "Averaged from: ['XCHXCO']\n", + "Averaged from: ['XCHXCH']\n", + "Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\n", + "'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XNH']\n", + "Averaged from: ['XCH2XN']\n", + "Averaged from: ['XCHXN']\n", + "Averaged from: ['NHXCXNH', 'XNHXCO']\n", + "Averaged from: ['XNXCO', 'XNXCNH']\n", + "Averaged from: ['XCHXNH', 'OHXCXNH']\n", + "Averaged from: ['XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XO', 'XOXCNH', 'XCHXO']\n", + "Averaged from: ['XCH2XO']\n", + "Averaged from: ['XOXCNH']\n", + "Averaged from: ['XCHXO']\n", + "Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\n", + "'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\n", + "Averaged from: ['XCH2XNH']\n", + "Averaged from: ['XCH2XN']\n", + "Averaged from: ['XCHXN']\n", + "Averaged from: ['NHXCXNH', 'XNHXCO']\n", + "Averaged from: ['XNXCO', 'XNXCNH']\n", + "Averaged from: ['XCHXNH', 'OHXCXNH']\n", + "Averaged from: ['XCHXN', 'XNXCOH']\n", + "Averaged from: ['XNHXNH', 'CH3XNXNOH', 'XNHXN', 'XNXNCH3']\n", + "Averaged from: ['XNHXNH', 'CH3XNXNOH']\n", + "Averaged from: ['XNHXN', 'XNXNCH3']\n", + "Averaged from: ['XOXNH', 'XOXNO']\n", + "Averaged from: ['XOXNH']\n", + "Averaged from: ['XOXNO']\n", + "Averaged from: ['XCCH2XC', 'XCCH2XCH2', 'XCHCH2XC', 'XCHCHXC', 'XCCHXCH2',\n", + "'XCH2CH2XCH2', 'XCHCHXCH2', 'XCHCXCH', 'XCHCXC', 'XCHCH2XCH2', 'XCHCH2XCH',\n", + "'XCHCHXCH', 'XCHCHXO', 'XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XCCH2XC', 'XCCH2XCH2', 'XCHCH2XC', 'XCHCHXC', 'XCCHXCH2',\n", + "'XCH2CH2XCH2', 'XCHCHXCH2', 'XCHCXCH', 'XCHCXC', 'XCHCH2XCH2', 'XCHCH2XCH',\n", + "'XCHCHXCH']\n", + "Averaged from: ['XCCH2XC']\n", + "Averaged from: ['XCCH2XCH2']\n", + "Averaged from: ['XCHCH2XC']\n", + "Averaged from: ['XCHCHXC']\n", + "Averaged from: ['XCCHXCH2']\n", + "Averaged from: ['XCH2CH2XCH2']\n", + "Averaged from: ['HOOHX']\n", + "Averaged from: ['XCHCHXCH2']\n", + "Averaged from: ['XCHCXCH']\n", + "Averaged from: ['XCHCXC']\n", + "Averaged from: ['XCHCH2XCH2']\n", + "Averaged from: ['XCHCH2XCH']\n", + "Averaged from: ['XCHCHXCH']\n", + "Averaged from: ['XCHCHXO']\n", + "Averaged from: ['XCHCHXO']\n", + "Averaged from: ['XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XOC(O)XO', 'H2C(XO)XO']\n", + "Averaged from: ['XCN', 'XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3',\n", + "'XCCH2OH', 'XCNO', 'XCNH2', 'XCOH', 'XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2',\n", + "'XCHCH2', 'XCHCHCH3', 'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO',\n", + "'XCOOH', 'CH3XCO', 'CH3CH2XCO', 'XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3',\n", + "'CH3XCHCH3', 'CH3XCHOH', 'XCH2NH2', 'XCH2OH', 'CH3XCHOH', 'XCCO', 'XCCCH2',\n", + "'XCCH2', 'XCNH', 'XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH',\n", + "'XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3', 'XNH2', 'XNHCHO', 'XNHCH3',\n", + "'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2', 'OXNNH', 'HXNO', 'CH3NXNOH', 'CH3XNNOH',\n", + "'XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH', 'XOH', 'XOCHCH2', 'HC(O)XO',\n", + "'XOC(OH)O', 'XOCH3', 'XOCH2CH3', 'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XCN', 'XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3',\n", + "'XCCH2OH', 'XCNO', 'XCNH2', 'XCOH', 'XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2',\n", + "'XCHCH2', 'XCHCHCH3', 'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO',\n", + "'XCOOH', 'CH3XCO', 'CH3CH2XCO', 'XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3',\n", + "'CH3XCHCH3', 'CH3XCHOH', 'XCH2NH2', 'XCH2OH', 'CH3XCHOH', 'XCCO', 'XCCCH2',\n", + "'XCCH2', 'XCNH', 'XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XCH', 'XCCHCH2', 'XCCHO', 'XCCH3', 'XCCH2CH3', 'XCCH2OH',\n", + "'XCNO', 'XCNH2', 'XCOH']\n", + "Averaged from: ['XCCHCH2', 'XCCHO']\n", + "Averaged from: ['XCCH3', 'XCCH2CH3', 'XCCH2OH']\n", + "Averaged from: ['XCNO', 'XCNH2']\n", + "Averaged from: ['XCOH']\n", + "Averaged from: ['XCHCO', 'CH2XCCH3', 'CH2XCOH', 'XCHCCH2', 'XCHCH2', 'XCHCHCH3',\n", + "'OXCNH2', 'NH2XCNH', 'XCHNH', 'OHXCNH', 'NH2XCNH', 'XCHO', 'XCOOH', 'CH3XCO',\n", + "'CH3CH2XCO']\n", + "Averaged from: ['CH2XCCH3', 'CH2XCOH', 'XCHCCH2', 'XCHCH2', 'XCHCHCH3']\n", + "Averaged from: ['OXCNH2', 'NH2XCNH']\n", + "Averaged from: ['XCHNH', 'OHXCNH', 'NH2XCNH']\n", + "Averaged from: ['XCHO', 'XCOOH', 'CH3XCO', 'CH3CH2XCO']\n", + "Averaged from: ['XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3', 'CH3XCHCH3', 'CH3XCHOH',\n", + "'XCH2NH2', 'XCH2OH', 'CH3XCHOH']\n", + "Averaged from: ['XCH2CH2CH3', 'XCH2CH2OH', 'XCH2CH3', 'CH3XCHCH3', 'CH3XCHOH']\n", + "Averaged from: ['XCH2NH2']\n", + "Averaged from: ['XCH2OH', 'CH3XCHOH']\n", + "Averaged from: ['XCCO', 'XCCCH2', 'XCCH2', 'XCNH']\n", + "Averaged from: ['XCCO', 'XCCCH2', 'XCCH2']\n", + "Averaged from: ['XCNH']\n", + "Averaged from: ['XCH2', 'XCHCHCH2', 'XCHCHO', 'CH3XCCH3', 'CH3XCOH',\n", + "'XCHCH2CH3', 'XCHCH3', 'XCHNH2', 'OHXCNH2', 'NH2XCNH2', 'XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XCHCHCH2', 'XCHCHO']\n", + "Averaged from: ['CH3XCCH3', 'CH3XCOH', 'XCHCH2CH3', 'XCHCH3']\n", + "Averaged from: ['XCHNH2', 'OHXCNH2', 'NH2XCNH2']\n", + "Averaged from: ['XCHOH', 'CH3XCOH']\n", + "Averaged from: ['XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3', 'XNH2',\n", + "'XNHCHO', 'XNHCH3', 'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2', 'OXNNH', 'HXNO',\n", + "'CH3NXNOH', 'CH3XNNOH', 'XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH']\n", + "Averaged from: ['XNO', 'XNCNH', 'XNCO', 'XNCH2', 'XNNH', 'XNNCH3']\n", + "Averaged from: ['XNCNH', 'XNCO']\n", + "Averaged from: ['XNCH2']\n", + "Averaged from: ['XNNH', 'XNNCH3']\n", + "Averaged from: ['XNH2', 'XNHCHO', 'XNHCH3', 'XNHNO', 'XNHNH2', 'XNHOH', 'XNO2',\n", + "'OXNNH', 'HXNO', 'CH3NXNOH', 'CH3XNNOH']\n", + "Averaged from: ['XNHCHO']\n", + "Averaged from: ['XNHCH3']\n", + "Averaged from: ['XNHNO']\n", + "Averaged from: ['XNHNH2']\n", + "Averaged from: ['XNHOH']\n", + "Averaged from: ['XNO2', 'OXNNH']\n", + "Averaged from: ['HXNO', 'CH3NXNOH', 'CH3XNNOH']\n", + "Averaged from: ['XNH', 'XNCN', 'XNCH3', 'XNNH2', 'XNOH']\n", + "Averaged from: ['XNCN']\n", + "Averaged from: ['XNCH3']\n", + "Averaged from: ['XNNH2']\n", + "Averaged from: ['XNOH']\n", + "Averaged from: ['XOH', 'XOCHCH2', 'HC(O)XO', 'XOC(OH)O', 'XOCH3', 'XOCH2CH3',\n", + "'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XOH', 'XOCHCH2', 'HC(O)XO', 'XOC(OH)O', 'XOCH3', 'XOCH2CH3',\n", + "'XOCH2OH', 'XONH2', 'XOOH']\n", + "Averaged from: ['XOCHCH2', 'HC(O)XO', 'XOC(OH)O']\n", + "Averaged from: ['XOCH3', 'XOCH2CH3', 'XOCH2OH']\n", + "Averaged from: ['XONH2']\n", + "Averaged from: ['XOOH']\n", + "Averaged from: ['CHCHX', 'CHCCH3X', 'NCOHX', 'CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X',\n", + "'CH2NHX', 'CH2COX', 'CH2OX', 'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X',\n", + "'CH4X', 'CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX', 'CH3NH2X', 'CH3OHX', 'CH3OCH3X',\n", + "'CH3OCH2OHX', 'H2C(OH)OHX', 'OCNHX', 'NHCNHX', 'NH3X', 'NH2NH2X', 'NH2NCH3CH3X',\n", + "'H2NOHX', 'ONNH2X', 'ONNCH3CH3X', 'ONOHX', 'H2OX', 'HOOHX']\n", + "Averaged from: ['CHCHX', 'CHCCH3X', 'NCOHX']\n", + "Averaged from: ['CHCHX', 'CHCCH3X']\n", + "Averaged from: ['NCOHX']\n", + "Averaged from: ['CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X', 'CH2NHX', 'CH2COX', 'CH2OX',\n", + "'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X']\n", + "Averaged from: ['CH2CH2X', 'CH3CHCH2X', 'CH2CCH2X']\n", + "Averaged from: ['CH2NHX']\n", + "Averaged from: ['CH2COX', 'CH2OX', 'OC(OH)OHX', 'CH3CHOX', 'HCOOHX', 'OCHNH2X']\n", + "Averaged from: ['CH4X', 'CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX', 'CH3NH2X',\n", + "'CH3OHX', 'CH3OCH3X', 'CH3OCH2OHX', 'H2C(OH)OHX']\n", + "Averaged from: ['CH3CH3X', 'CH3CH2CH3X', 'CH3CH2OHX']\n", + "Averaged from: ['CH3NH2X']\n", + "Averaged from: ['CH3OHX', 'CH3OCH3X', 'CH3OCH2OHX', 'H2C(OH)OHX']\n", + "Averaged from: ['OCNHX', 'NHCNHX']\n", + "Averaged from: ['NH3X', 'NH2NH2X', 'NH2NCH3CH3X', 'H2NOHX']\n", + "Averaged from: ['NH2NH2X', 'NH2NCH3CH3X']\n", + "Averaged from: ['H2NOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X', 'ONOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X', 'ONOHX']\n", + "Averaged from: ['ONNH2X', 'ONNCH3CH3X']\n", + "Averaged from: ['ONOHX']\n", + "Averaged from: ['H2OX', 'HOOHX']\n" + ] + } + ], + "source": [ + "for entry in database.thermo.groups['adsorptionPt111'].entries:\n", + " print(database.thermo.groups['adsorptionPt111'].entries[entry].short_desc)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1060c0d1-75d7-4c27-9c01-7f29bd84ea58", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Averaged from: ['XCH2XNH', 'XCH2XN', 'XCHXN', 'NHXCXNH', 'XNHXCO', 'XNXCO',\\n'XNXCNH', 'XCHXNH', 'OHXCXNH', 'XCHXN', 'XNXCOH']\"" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "database.thermo.groups['adsorptionPt111'].entries['CXNX'].short_desc" + ] + }, { "cell_type": "markdown", "id": "43afd0bd-f1c1-41f9-b73a-0915c725f8b8", @@ -384,7 +14827,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 18, "id": "1d8ad84a-fcab-4e43-b908-b9149a7b6972", "metadata": {}, "outputs": [], @@ -392,6 +14835,7 @@ "# get a list of all the adsorption correction groups\n", "ads_group_items = [database.thermo.groups['adsorptionPt111'].entries[key].item for key in database.thermo.groups['adsorptionPt111'].entries]\n", "ads_group_labels = [key for key in database.thermo.groups['adsorptionPt111'].entries]\n", + "ads_group_desc = [database.thermo.groups['adsorptionPt111'].entries[key].short_desc for key in database.thermo.groups['adsorptionPt111'].entries]\n", "assert len(ads_group_items) == len(ads_group_labels)\n", "\n", "# make a list with all groups and training species because we also want to correlate the adsorption groups with the surfaceThermoPt111 library\n", @@ -410,7 +14854,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 19, "id": "e6446919-5456-480a-b838-f2654f51ec64", "metadata": {}, "outputs": [], @@ -427,13 +14871,30 @@ " # check if a species matches the general description of the group node\n", " return training_molecule.is_subgraph_isomorphic(group, generate_initial_map=True)\n", "\n", + "def training_molecule_fits_desc(training_molecule, desc):\n", + " if 'anything' in desc.lower():\n", + " return True\n", + " # see if molecule name is in the list of molecules for that node\n", + "\n", + " start_tag = '\"Averaged from: ['\n", + " start_idx = desc.find(start_tag) + len(start_tag)\n", + " assert start_idx >= 0\n", + " end_tag = ']\"'\n", + " end_idx = desc.find(end_tag)\n", + "\n", + " desc = desc[start_idx:end_idx].replace('\\'', '')\n", + " tokens = desc.split(',')\n", + " tokens = [x.strip() for x in tokens]\n", + " return training_molecule in tokens\n", + " \n", + "\n", "# Construct ensemble matrix for groups as average of training data\n", "for i in range(n_groups):\n", " # get all molecules that match that node\n", " n_training_mols = 0\n", " for j in range(n_molecules):\n", - " if training_molecule_fits_group(molecules[j], ads_group_items[i]):\n", - " # if all_items[n_groups + j].is_subgraph_isomorphic(reconstructed_items[i], generate_initial_map=True):\n", + " # if training_molecule_fits_group(molecules[j], ads_group_items[i]):\n", + " if training_molecule_fits_desc(molecule_order[j], ads_group_desc[i]):\n", " ads_ensembles[i, :] += Hf_ensemble_data[j, :]\n", " n_training_mols += 1\n", " \n", @@ -459,13 +14920,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 20, "id": "7c96f387-040d-4b25-849b-1fbe710a5eff", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -501,7 +14962,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 21, "id": "8536d614-660f-4886-9e8a-0531f238f875", "metadata": {}, "outputs": [ @@ -511,7 +14972,7 @@ "Text(0.5, 1.0, 'Thermo Covariance Matrix')" ] }, - "execution_count": 14, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, @@ -526,7 +14987,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -555,7 +15016,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 22, "id": "80f94cd5-c09f-405a-89ab-77eed4080bd4", "metadata": {}, "outputs": [], @@ -622,7 +15083,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 23, "id": "ecad13da-5e31-4579-8f6d-f14e3115186d", "metadata": {}, "outputs": [ @@ -630,13 +15091,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(C=*RO-*, C-*RC=*) = 5.1814 (kcal/mol)^2\n" + "Covariance(CXRCX, RC-X=R=C=X) = 129.3958 (kcal/mol)^2\n" ] } ], "source": [ - "ads1 = ads_group_labels.index('C=*RO-*')\n", - "ads2 = ads_group_labels.index('C-*RC=*')\n", + "ads1 = ads_group_labels.index('CXRCX')\n", + "ads2 = ads_group_labels.index('RC-X=R=C=X')\n", "print(f'Covariance({ads_group_labels[ads1]}, {ads_group_labels[ads2]}) = {cov_ads[ads1, ads2] / 4.184 / 4.184:0.4f} (kcal/mol)^2')\n" ] }, @@ -650,7 +15111,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "id": "b7440c7e-760f-4810-8b28-fed2e6d5253e", "metadata": {}, "outputs": [ @@ -658,12 +15119,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(C=*RO-*, ) = 10.0169 (kcal/mol)^2\n" + "Covariance(C=XR2, ) = 64.0030 (kcal/mol)^2\n" ] } ], "source": [ - "ads1 = ads_group_labels.index('C=*RO-*')\n", + "ads1 = ads_group_labels.index('C=XR2')\n", "\n", "lib2 = -1\n", "for i in range(len(molecules)):\n", @@ -685,7 +15146,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 25, "id": "c51e9aa7-cbfa-46df-93a2-cffcd215524d", "metadata": {}, "outputs": [ @@ -693,7 +15154,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Covariance(, ) = 4.2400 (kcal/mol)^2\n" + "Covariance(, ) = 29.4744 (kcal/mol)^2\n" ] } ],