def estimateThermoViaGroupAdditivity(self, molecule):
"""
Return the set of thermodynamic parameters corresponding to a given
:class:`Molecule` object `molecule` by estimation using the group
additivity values. If no group additivity values are loaded, a
:class:`DatabaseError` is raised.
"""
# For thermo estimation we need the atoms to already be sorted because we
# iterate over them; if the order changes during the iteration then we
# will probably not visit the right atoms, and so will get the thermo wrong
molecule.sortVertices()
# Create the ThermoData object
thermoData = ThermoData(
Tdata = ([300,400,500,600,800,1000,1500],"K"),
Cpdata = ([0.0,0.0,0.0,0.0,0.0,0.0,0.0],"J/(mol*K)"),
H298 = (0.0,"kJ/mol"),
S298 = (0.0,"J/(mol*K)"),
)
if molecule.isRadical(): # radical species
return self.estimateRadicalThermoViaHBI(molecule, self.estimateThermoViaGroupAdditivityForSaturatedStructWithoutSymmetryCorrection)
else: # non-radical species
thermoData = self.estimateThermoViaGroupAdditivityForSaturatedStructWithoutSymmetryCorrection(molecule)
# Correct entropy for symmetry number
molecule.calculateSymmetryNumber()
thermoData.S298.value_si -= constants.R * math.log(molecule.symmetryNumber)
return thermoData
def estimateThermoViaGroupAdditivity(self, molecule):
"""
Return the set of thermodynamic parameters corresponding to a given
:class:`Molecule` object `molecule` by estimation using the group
additivity values. If no group additivity values are loaded, a
:class:`DatabaseError` is raised.
"""
# For thermo estimation we need the atoms to already be sorted because we
# iterate over them; if the order changes during the iteration then we
# will probably not visit the right atoms, and so will get the thermo wrong
molecule.sortVertices()
# Create the ThermoData object
thermoData = ThermoData(
Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "J/(mol*K)"),
H298=(0.0, "kJ/mol"),
S298=(0.0, "J/(mol*K)"),
)
if molecule.isRadical(): # radical species
return self.estimateRadicalThermoViaHBI(
molecule, self.
estimateThermoViaGroupAdditivityForSaturatedStructWithoutSymmetryCorrection
)
else: # non-radical species
thermoData = self.estimateThermoViaGroupAdditivityForSaturatedStructWithoutSymmetryCorrection(
molecule)
# Correct entropy for symmetry number
molecule.calculateSymmetryNumber()
thermoData.S298.value_si -= constants.R * math.log(
molecule.symmetryNumber)
return thermoData
def estimateThermoViaGroupAdditivityForSaturatedStructWithoutSymmetryCorrection(self, molecule):
"""
Return the set of thermodynamic parameters corresponding to a given
:class:`Molecule` object `molecule` by estimation using the group
additivity values. If no group additivity values are loaded, a
:class:`DatabaseError` is raised.
The entropy is not corrected for the symmetry of the molecule.
This should be done later by the calling function.
"""
assert not molecule.isRadical(), "This method is only for saturated non-radical species."
# For thermo estimation we need the atoms to already be sorted because we
# iterate over them; if the order changes during the iteration then we
# will probably not visit the right atoms, and so will get the thermo wrong
molecule.sortVertices()
# Create the ThermoData object
thermoData = ThermoData(
Tdata = ([300,400,500,600,800,1000,1500],"K"),
Cpdata = ([0.0,0.0,0.0,0.0,0.0,0.0,0.0],"J/(mol*K)"),
H298 = (0.0,"kJ/mol"),
S298 = (0.0,"J/(mol*K)"),
)
cyclic = molecule.isCyclic()
# Generate estimate of thermodynamics
for atom in molecule.atoms:
# Iterate over heavy (non-hydrogen) atoms
if atom.isNonHydrogen():
# Get initial thermo estimate from main group database
try:
self.__addGroupThermoData(thermoData, self.groups['group'], molecule, {'*':atom})
except KeyError:
logging.error("Couldn't find in main thermo database:")
logging.error(molecule)
logging.error(molecule.toAdjacencyList())
raise
# Correct for gauche and 1,5- interactions
if not cyclic:
try:
self.__addGroupThermoData(thermoData, self.groups['gauche'], molecule, {'*':atom})
except KeyError: pass
try:
self.__addGroupThermoData(thermoData, self.groups['int15'], molecule, {'*':atom})
except KeyError: pass
try:
self.__addGroupThermoData(thermoData, self.groups['other'], molecule, {'*':atom})
except KeyError: pass
# Do ring corrections separately because we only want to match
# each ring one time
if cyclic:
if molecule.getAllPolycyclicVertices():
# If the molecule has fused ring atoms, this implies that we are dealing
# with a polycyclic ring system, for which separate ring strain corrections may not
# be adequate. Therefore, we search the polycyclic thermo group corrections
# instead of adding single ring strain corrections within the molecule.
# For now, assume only one polycyclic RSC can be found per molecule
try:
self.__addGroupThermoData(thermoData, self.groups['polycyclic'], molecule, {})
except:
logging.error("Couldn't find in polycyclic ring database:")
logging.error(molecule)
logging.error(molecule.toAdjacencyList())
raise
else:
rings = molecule.getSmallestSetOfSmallestRings()
for ring in rings:
# Make a temporary structure containing only the atoms in the ring
# NB. if any of the ring corrections depend on ligands not in the ring, they will not be found!
try:
self.__addGroupThermoData(thermoData, self.groups['ring'], molecule, {})
except KeyError:
logging.error("Couldn't find in ring database:")
logging.error(ring)
logging.error(ring.toAdjacencyList())
raise
return thermoData
def estimateThermoViaGroupAdditivity(self, molecule):
"""
Return the set of thermodynamic parameters corresponding to a given
:class:`Molecule` object `molecule` by estimation using the group
additivity values. If no group additivity values are loaded, a
:class:`DatabaseError` is raised.
"""
# For thermo estimation we need the atoms to already be sorted because we
# iterate over them; if the order changes during the iteration then we
# will probably not visit the right atoms, and so will get the thermo wrong
molecule.sortVertices()
# Create the ThermoData object
thermoData = ThermoData(
Tdata = ([300,400,500,600,800,1000,1500],"K"),
Cpdata = ([0.0,0.0,0.0,0.0,0.0,0.0,0.0],"J/(mol*K)"),
H298 = (0.0,"kJ/mol"),
S298 = (0.0,"J/(mol*K)"),
)
if molecule.getRadicalCount() > 0: # radical species
return self.estimateRadicalThermoViaHBI(molecule, self.estimateThermoViaGroupAdditivity )
else: # non-radical species
cyclic = molecule.isCyclic()
# Generate estimate of thermodynamics
for atom in molecule.atoms:
# Iterate over heavy (non-hydrogen) atoms
if atom.isNonHydrogen():
# Get initial thermo estimate from main group database
try:
self.__addGroupThermoData(thermoData, self.groups['group'], molecule, {'*':atom})
except KeyError:
logging.error("Couldn't find in main thermo database:")
logging.error(molecule)
logging.error(molecule.toAdjacencyList())
raise
# Correct for gauche and 1,5- interactions
if not cyclic:
try:
self.__addGroupThermoData(thermoData, self.groups['gauche'], molecule, {'*':atom})
except KeyError: pass
try:
self.__addGroupThermoData(thermoData, self.groups['int15'], molecule, {'*':atom})
except KeyError: pass
try:
self.__addGroupThermoData(thermoData, self.groups['other'], molecule, {'*':atom})
except KeyError: pass
# Do ring corrections separately because we only want to match
# each ring one time
if cyclic:
if molecule.getAllPolycyclicVertices():
# If the molecule has fused ring atoms, this implies that we are dealing
# with a polycyclic ring system, for which separate ring strain corrections may not
# be adequate. Therefore, we search the polycyclic thermo group corrections
# instead of adding single ring strain corrections within the molecule.
# For now, assume only one polycyclic RSC can be found per molecule
try:
self.__addGroupThermoData(thermoData, self.groups['polycyclic'], molecule, {})
except:
logging.error("Couldn't find in polycyclic ring database:")
logging.error(molecule)
logging.error(molecule.toAdjacencyList())
raise
else:
rings = molecule.getSmallestSetOfSmallestRings()
for ring in rings:
# Make a temporary structure containing only the atoms in the ring
# NB. if any of the ring corrections depend on ligands not in the ring, they will not be found!
try:
self.__addGroupThermoData(thermoData, self.groups['ring'], molecule, {})
except KeyError:
logging.error("Couldn't find in ring database:")
logging.error(ring)
logging.error(ring.toAdjacencyList())
raise
# Correct entropy for symmetry number
molecule.calculateSymmetryNumber()
thermoData.S298.value_si -= constants.R * math.log(molecule.symmetryNumber)
return thermoData