def main():
# Get user input.
args = parse_user_input()
_exec("rm -f ts-analyze.tar.bz2 irc_transition.xyz irc_transition.vib",
print_command=False)
# Standardize base name to "irc_transition".
shutil.copy2(args.ts, 'irc_transition.xyz')
# Run Q-Chem calculations..
QCT = QChem("irc_transition.xyz",
charge=args.charge,
mult=args.mult,
method=args.method,
basis=args.basis)
# Ensure stability.
QCT.make_stable()
# Single point calculation for bond order matrix.
QCT.jobtype = 'sp'
QCT.remextra = OrderedDict([('scf_final_print', '1')])
QCT.calculate()
np.savetxt("irc_transition.bnd",
QCT.load_qcout().qm_bondorder,
fmt="%8.3f")
# Frequency calculation.
QCT.jobtype = 'freq'
QCT.calculate()
QCT.write_vdata('irc_transition.vib')
tarexit()
def QCOpt(initial, charge, mult, method, basis, cycles=100, gtol=600, dxtol=2400, etol=200, cart=False):
"""
Run a Q-Chem geometry optimization. Default tolerances for
gradient, displacement and energy are higher than usual because we
don't want significant nonbonded conformational changes in the
pathway.
Parameters
----------
initial : str
Initial XYZ file for optimization
charge : int
Net charge
mult : int
Spin multiplicity
method : str
Electronic structure method
basis : str
Basis set
cycles : int
Number of optimization cycles
gtol : int
Gradient tolerance for Q-Chem
dxtol : int
Displacement tolerance for Q-Chem
etol : int
Energy tolerance for Q-Chem
cart : bool
Perform the optimization in Cartesian coordinates
"""
# Create Q-Chem object.
QC = QChem(initial, charge=charge, mult=mult, method=method, basis=basis, qcin='optimize.in')
# Run a stability analysis first to ensure we're in the ground state.
QC.make_stable()
# Set geometry optimization options.
QC.jobtype = 'opt'
QC.remextra = OrderedDict()
if cart: QC.remextra['geom_opt_coords'] = 0
QC.remextra['thresh'] = 14
QC.remextra['geom_opt_tol_gradient'] = gtol
QC.remextra['geom_opt_tol_displacement'] = dxtol
QC.remextra['geom_opt_tol_energy'] = etol
QC.remextra['geom_opt_max_cycles'] = cycles
# Run Q-Chem.
QC.calculate()
# Create Molecule object from running Q-Chem.
M = QC.load_qcout()
return M
def main():
# Get user input.
args = parse_user_input()
# Start timer.
click()
# Run single point calculation to determine bond order matrix.
QCSP = QChem(args.initial,
charge=args.charge,
mult=args.mult,
method=args.method,
basis=args.basis)
QCSP.make_stable()
QCSP.jobtype = 'sp'
QCSP.remextra = OrderedDict([('scf_final_print', '1')])
QCSP.calculate()
# Rebuild bond list using the bond order matrix.
M = QCSP.load_qcout()
InitE = M.qm_energies[0]
M.bonds = []
# Determined from an incredibly small # of data points.
# In example_1.xyz, an O-H distance of 1.89 Angstrom had a BO of 0.094 (so it should be > 0.1)
# In example_1.xyz, a C-H distance of 1.39 Angstrom had a BO of 0.305 (so it should be < 0.3)
bo_thresh = 0.2
numbonds = 0
bondfactor = 0.0
print("Atoms QM-BO Distance")
for i in range(M.na):
for j in range(i + 1, M.na):
# Print out the ones that are "almost" bonds.
if M.qm_bondorder[i, j] > 0.1:
print("%s%i%s%s%i % .3f % .3f" %
(M.elem[i], i, '-' if M.qm_bondorder[i, j] > bo_thresh
else ' ', M.elem[j], j, M.qm_bondorder[i, j],
np.linalg.norm(M.xyzs[-1][i] - M.xyzs[-1][j])))
if M.qm_bondorder[i, j] > bo_thresh:
M.bonds.append((i, j))
numbonds += 1
if M.qm_bondorder[i, j] <= 1:
bondfactor += M.qm_bondorder[i, j]
else:
# Count double bonds as 1
bondfactor += 1
bondfactor /= numbonds
M.build_topology()
subxyz = []
subef = []
subna = []
subchg = []
submult = []
subvalid = []
SumFrags = []
# Divide calculation into subsystems.
for subg in M.molecules:
matoms = subg.nodes()
frag = M.atom_select(matoms)
# Determine output file name.
fout = os.path.splitext(
args.initial)[0] + '.sub_%i' % len(subxyz) + '.xyz'
# Assume we are getting the Mulliken charges from the last frame, it's safer.
# Write the output .xyz file.
Chg = sum(M.qm_mulliken_charges[-1][matoms])
SpnZ = sum(M.qm_mulliken_spins[-1][matoms])
Spn2 = sum([i**2 for i in M.qm_mulliken_spins[-1][matoms]])
frag.comms = [
"Molecular formula %s atoms %s from %s charge %+.3f sz %+.3f sz^2 %.3f"
%
(subg.ef(), commadash(subg.nodes()), args.initial, Chg, SpnZ, Spn2)
]
frag.write(fout)
subxyz.append(fout)
subef.append(subg.ef())
subna.append(frag.na)
# Determine integer charge and multiplicity.
ichg, chgpass = extract_int(np.array([Chg]), 0.5, 1.0, label="charge")
ispn, spnpass = extract_int(np.array([abs(SpnZ)]),
0.5,
1.0,
label="spin-z")
nproton = sum([Elements.index(i) for i in frag.elem])
nelectron = nproton + ichg
# If calculation is valid, append to the list of xyz/chg/mult to be calculated.
if (not chgpass or not spnpass):
print("Cannot determine charge and spin for fragment %s\n" %
subg.ef())
subchg.append(None)
submult.append(None)
subvalid.append(False)
elif ((nelectron - ispn) / 2) * 2 != (nelectron - ispn):
print("Inconsistent charge and spin-z for fragment %s\n" %
subg.ef())
subchg.append(None)
submult.append(None)
subvalid.append(False)
else:
subchg.append(ichg)
submult.append(ispn + 1)
subvalid.append(True)
print("%i/%i subcalculations are valid" % (len(subvalid), sum(subvalid)))
for i in range(len(subxyz)):
print("%s formula %-12s charge %i mult %i %s" %
(subxyz[i], subef[i], subchg[i], submult[i],
"valid" if subvalid[i] else "invalid"))
fragid = open('fragmentid.txt', 'w')
for formula in subef:
fragid.write(formula + " ")
fragid.write("\nBondfactor: " + str(bondfactor))
if not all(subvalid): fragid.write("\ninvalid")
fragid.close()
# Archive and exit
tarexit()
def main():
# Get user input.
args = parse_user_input()
if len(args.methods) > 2:
logger.error("Unsure what to do with >2 electronic structure methods")
raise RuntimeError
# Delete the result from previous jobs
_exec("rm -rf ts_result.tar.bz2", print_command=False)
# Perform transition state search.
# First run the TS-calculation with the smaller basis set
QCTS1 = QChemTS(args.tsest,
charge=args.charge,
mult=args.mult,
method=args.methods[0],
basis=args.bases[0],
finalize=(len(args.methods) == 1),
qcin='qcts1.in',
vout='irc_transition.vib')
QCTS1.write('ts1.xyz')
if len(args.methods) == 2:
print(' --== \x1b[1;92mUpgrading\x1b[0m ==--')
QCTS2 = QChemTS("ts1.xyz",
charge=args.charge,
mult=args.mult,
method=args.methods[1],
basis=args.bases[1],
finalize=True,
qcin='qcts2.in',
vout='irc_transition.vib')
QCTS2.write('ts2.xyz')
qcdir = QCTS2.qcdir
shutil.copy2('ts2.xyz', 'ts.xyz')
else:
qcdir = QCTS1.qcdir
shutil.copy2('ts1.xyz', 'ts.xyz')
# Intrinsic reaction coordinate calculation.
print("Intrinsic reaction coordinate..")
# Process and save IRC results.
M_IRC, E_IRC = QChemIRC("ts.xyz",
charge=args.charge,
mult=args.mult,
method=args.methods[-1],
basis=args.bases[-1],
qcdir=qcdir,
xyz0=args.initpath)
M_IRC.write("irc.xyz")
M_IRC.get_populations().write('irc.pop', ftype='xyz')
# Save the IRC energy as a function of arc length.
ArcMol = arc(M_IRC, RMSD=True)
ArcMolCumul = np.insert(np.cumsum(ArcMol), 0, 0.0)
np.savetxt("irc.nrg",
np.hstack((ArcMolCumul.reshape(-1, 1), E_IRC.reshape(-1, 1))),
fmt="% 14.6f",
header="Arclength(Ang) Energy(kcal/mol)")
# Create IRC with equally spaced structures.
M_IRC_EV = SpaceIRC(M_IRC, E_IRC, RMSD=True)
M_IRC_EV.write("irc_spaced.xyz")
# Run two final single point calculations with SCF_FINAL_PRINT set to 1
M_IRC[0].write("irc_reactant.xyz")
M_IRC[-1].write("irc_product.xyz")
QCR = QChem("irc_reactant.xyz",
charge=args.charge,
mult=args.mult,
method=args.methods[-1],
basis=args.bases[-1])
QCP = QChem("irc_product.xyz",
charge=args.charge,
mult=args.mult,
method=args.methods[-1],
basis=args.bases[-1])
shutil.copy2("ts.xyz", "irc_transition.xyz")
QCT = QChem("irc_transition.xyz",
charge=args.charge,
mult=args.mult,
method=args.methods[-1],
basis=args.bases[-1])
def FinalSCF(SP):
SP.make_stable()
SP.jobtype = 'sp'
SP.remextra = OrderedDict([('scf_final_print', '1')])
SP.calculate()
FinalSCF(QCR)
FinalSCF(QCP)
FinalSCF(QCT)
np.savetxt("irc_reactant.bnd", QCR.load_qcout().qm_bondorder, fmt="%8.3f")
np.savetxt("irc_product.bnd", QCP.load_qcout().qm_bondorder, fmt="%8.3f")
np.savetxt("irc_transition.bnd",
QCT.load_qcout().qm_bondorder,
fmt="%8.3f")
# Calculate ZPEs, entropy, enthalpy for Delta-G calcs
# Should be able to take out freq calcs of R and P once we get can confidently get rid of this section.
QCR.remextra = OrderedDict()
QCP.remextra = OrderedDict()
QCT.remextra = OrderedDict()
QCR.freq()
R = QCR.load_qcout()
QCP.freq()
P = QCP.load_qcout()
QCT.freq()
T = QCT.load_qcout()
nrgfile = open('deltaG.nrg', 'w')
deltaH = P.qm_energies[0] * Ha_to_kcalmol + P.qm_zpe[
0] - R.qm_energies[0] * Ha_to_kcalmol - R.qm_zpe[0]
deltaG = deltaH - P.qm_entropy[0] * 0.29815 + P.qm_enthalpy[
0] + R.qm_entropy[0] * 0.29815 - R.qm_enthalpy[0]
Ha = T.qm_energies[0] * Ha_to_kcalmol + T.qm_zpe[
0] - R.qm_energies[0] * Ha_to_kcalmol - R.qm_zpe[0]
Ga = Ha - T.qm_entropy[0] * 0.29815 + T.qm_enthalpy[
0] + R.qm_entropy[0] * 0.29815 - R.qm_enthalpy[0]
nrgfile.write(
"=> ** The following data is referenced to reactant and product complexes **\n"
)
nrgfile.write(
"=> ** WARNING! Data may not be accurate in cases with >1 molecule **\n"
)
nrgfile.write(
"=> ** Activation enthalpy H_a (0K) = %.4f kcal/mol **\n"
% Ha)
nrgfile.write(
"=> ** Activation Gibbs energy G_a (STP) = %.4f kcal/mol **\n"
% Ga)
nrgfile.write(
"=> ** Delta-H(0K) = %.4f kcal/mol **\n"
% deltaH)
nrgfile.write(
"=> ** Delta-G(STP) = %.4f kcal/mol **\n"
% deltaG)
# Calculate Delta-G's based on fragment information from reactant and product
# Get data from fragment nrg files
if args.fragpath == None:
fragpath = os.path.abspath('../../../../../fragments')
else:
fragpath = args.fragpath
formulas = []
nrg = []
zpe = []
entr = []
enth = []
validity = []
for frm in os.listdir(fragpath):
optdir = os.path.join(fragpath, frm, "opt")
if os.path.exists(os.path.join(optdir, 'fragmentopt.nrg')):
fragnrgfile = open(os.path.join(optdir, 'fragmentopt.nrg'))
formulas.append(fragnrgfile.readline().strip())
nrg.append(float(fragnrgfile.readline().split()[3]))
zpe.append(float(fragnrgfile.readline().split()[2]))
entr.append(float(fragnrgfile.readline().split()[3]))
enth.append(float(fragnrgfile.readline().split()[3]))
validity.append(fragnrgfile.readline().strip())
fragnrgfile.close()
# Compare list of molecules to choose right energy
formulasR = []
formulasP = []
nrgR = 0.0
nrgP = 0.0
R.build_topology()
for subg in R.molecules:
formulasR.append(subg.ef())
formulasR = sorted(formulasR)
P.build_topology()
for subg in P.molecules:
formulasP.append(subg.ef())
formulasP = sorted(formulasP)
for i in range(len(formulas)):
formlist = sorted(formulas[i].split())
if formlist == formulasR and validity[i] != "invalid":
nrgR = nrg[i]
zpeR = zpe[i]
entrR = entr[i]
enthR = enth[i]
if formlist == formulasP and validity[i] != "invalid":
nrgP = nrg[i]
zpeP = zpe[i]
entrP = entr[i]
enthP = enth[i]
# Calculate energetics
if nrgR != 0.0:
Ha = T.qm_energies[0] * Ha_to_kcalmol + T.qm_zpe[
0] - nrgR * Ha_to_kcalmol - zpeR
Ga = Ha - T.qm_entropy[0] * 0.29815 + T.qm_enthalpy[
0] + entrR * 0.29815 - enthR
nrgfile.write(
"=> ## The following data is calculated referenced to isolated reactant and product molecules:\n"
)
nrgfile.write(
"=> ## Activation enthalpy H_a (0K) = %.4f kcal/mol ##\n"
% Ha)
nrgfile.write(
"=> ## Activation Gibbs energy G_a (STP) = %.4f kcal/mol ##\n"
% Ga)
else:
nrgfile.write(
"=> Reactant state could not be identified among fragment calculations\n"
)
nrgfile.write(
"=> No energetics referenced to isolated molecules will be calculated for this pathway\n"
)
if nrgR != 0.0 and nrgP != 0.0:
deltaH = nrgP * Ha_to_kcalmol + zpeP - nrgR * Ha_to_kcalmol - zpeR
deltaG = deltaH - entrP * 0.29815 + enthP + entrR * 0.29815 - enthR
nrgfile.write(
"=> ## Delta-H(0K) = %.4f kcal/mol **\n"
% deltaH)
nrgfile.write(
"=> ## Delta-G(STP) = %.4f kcal/mol **\n"
% deltaG)
elif nrgP == 0.0:
nrgfile.write(
"=> Product state could not be identified among fragment calculations\n"
)
nrgfile.write(
"=> No reaction energies referenced to isolated molecules will be calculated for this pathway\n"
)
nrgfile.close()
print("\x1b[1;92mIRC Success!\x1b[0m")
tarexit()