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117 changes: 117 additions & 0 deletions input/thermo/groups/adsorptionPt111.py
Original file line number Diff line number Diff line change
Expand Up @@ -4661,6 +4661,120 @@
facet = "111",
)

entry(
index = 129,
label = "RXvdWBidentate",
group=
"""
1 X u0 p0 c0 {3,S}
2 * X u0 p0 c0 {4,vdW}
3 R!H u0 px c0 {1,S} {5,[S,D]}
4 R!H u0 px c0 {2,vdW} {5,D}
5 R!H u0 px cx {3,[S,D]} {4,D}
""",
thermo=ThermoData(
Tdata=([300, 400, 500, 600, 800, 1000, 1500], 'K'),
Cpdata=([-0.661, 1.496, 2.636, 3.252, 3.8, 3.999, 4.13], 'J/(mol*K)'),
H298=(-199.357, 'kJ/mol'),
S298=(-165.516, 'J/(mol*K)'),
),
shortDesc=u"""Averaged from: ['XOC(OH)XO', 'XOCHXO', 'XONXO', 'XONOXO']""",
longDesc=u""" Calculated by Kirk Badger at Brown University using statistical mechanics
methods implemented in Franklin Goldsmith's thermo_kinetics_scripts repository
in the new_workflow folder: https://github.com/franklingoldsmith/thermo_kinetic
s_scripts/tree/main/new_workflow DFT calculations were performed with Quantum
Espresso using PAW pseudopotentals and the BEEF-vdW functional for an optimized
3x3x4 supercell with the bottom 2 layers fixed. The following settings were
applied: kpoints=5x5x1, ecutwfc=50 Ry (60 Ry single point evaluation after),
smearing='marzari-vanderbilt', degauss=0.02, mixing_mode='local-TF',
conv_thr=1e-12, fmax=1e-3.

R
/ \\
R R
| :
***********
""",
metal = "Pt",
facet = "111",
)

entry(
index = 130,
label = "XOCRXO",
group=
"""
1 X u0 p0 c0 {3,S}
2 * X u0 p0 c0 {4,vdW}
3 O u0 p2 c0 {1,S} {5,S}
4 O u0 p2 c0 {2,vdW} {5,D}
5 C u0 p0 c0 {3,S} {4,D}
""",
thermo=ThermoData(
Tdata=([300, 400, 500, 600, 800, 1000, 1500], 'K'),
Cpdata=([2.365, 4.644, 5.906, 6.652, 7.422, 7.775, 8.101], 'J/(mol*K)'),
H298=(-231.878, 'kJ/mol'),
S298=(-198.718, 'J/(mol*K)'),
),
shortDesc=u"""Averaged from: ['XOC(OH)XO', 'XOCHXO']""",
longDesc=u""" Calculated by Kirk Badger at Brown University using statistical mechanics
methods implemented in Franklin Goldsmith's thermo_kinetics_scripts repository
in the new_workflow folder: https://github.com/franklingoldsmith/thermo_kinetic
s_scripts/tree/main/new_workflow DFT calculations were performed with Quantum
Espresso using PAW pseudopotentals and the BEEF-vdW functional for an optimized
3x3x4 supercell with the bottom 2 layers fixed. The following settings were
applied: kpoints=5x5x1, ecutwfc=50 Ry (60 Ry single point evaluation after),
smearing='marzari-vanderbilt', degauss=0.02, mixing_mode='local-TF',
conv_thr=1e-12, fmax=1e-3.

C
/ \\
O O
| :
***********
""",
metal = "Pt",
facet = "111",
)

entry(
index = 131,
label = "XONXO",
group=
"""
1 X u0 p0 c0 {3,S}
2 * X u0 p0 c0 {4,vdW}
3 O u0 p2 c0 {1,S} {5,S}
4 O u0 p2 c0 {2,vdW} {5,D}
5 N u0 px cx {3,S} {4,D}
""",
thermo=ThermoData(
Tdata=([300, 400, 500, 600, 800, 1000, 1500], 'K'),
Cpdata=([-3.686, -1.653, -0.634, -0.147, 0.177, 0.222, 0.159], 'J/(mol*K)'),
H298=(-166.836, 'kJ/mol'),
S298=(-132.313, 'J/(mol*K)'),
),
shortDesc=u"""Averaged from: ['XONXO', 'XONOXO']""",
longDesc=u""" Calculated by Kirk Badger at Brown University using statistical mechanics
methods implemented in Franklin Goldsmith's thermo_kinetics_scripts repository
in the new_workflow folder: https://github.com/franklingoldsmith/thermo_kinetic
s_scripts/tree/main/new_workflow DFT calculations were performed with Quantum
Espresso using PAW pseudopotentals and the BEEF-vdW functional for an optimized
3x3x4 supercell with the bottom 2 layers fixed. The following settings were
applied: kpoints=5x5x1, ecutwfc=50 Ry (60 Ry single point evaluation after),
smearing='marzari-vanderbilt', degauss=0.02, mixing_mode='local-TF',
conv_thr=1e-12, fmax=1e-3.

N
/ \\
O O
| :
***********
""",
metal = "Pt",
facet = "111",
)

tree(
"""
L1: RX
Expand Down Expand Up @@ -4791,5 +4905,8 @@
L5: (ONOR)X
L3: (OR2)X
L4: (OROR)X
L2: RXvdWBidentate
L3: XOCRXO
L3: XONXO
""",
)
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