def test_opt_gamess():
"""
Test Optimization in Gamess using methanol in water.
"""
methanol = Molecule('test/test_files/ion_methanol.xyz')
methanol.properties['symmetry'] = 'Cs'
s = Settings()
s.specific.gamess.contrl.nzvar = 12
s.specific.gamess.system.timlim = 2
s.specific.gamess.system.mwords = 2
s.specific.gamess.pcm.solvnt = 'water'
s.specific.gamess.basis.gbasis = 'sto'
s.specific.gamess.basis.ngauss = 3
s.specific.gamess.guess.guess = 'huckel'
s.specific.gamess.stapt.optol = '1d-5'
s.specific.gamess.zmat["izmat(1)"] = "1,1,2, 1,2,3, 1,3,4, 1,3,5, 1,3,6, \n"\
"2,1,2,3, 2,2,3,4, 2,2,3,5, 2,2,3,6, \n"\
"3,1,2,3,4, 3,1,2,3,5, 3,1,2,3,6"
inp = templates.geometry.overlay(s)
methanol_geometry = gamess(inp, methanol, work_dir='/tmp')
mol_opt = run(methanol_geometry.molecule)
coords = concat([a.coords for a in mol_opt.atoms])
expected_coords = [-0.9956983464, 0.9204754677, -0.0002616586, -0.72585581,
-0.0802380791, 2.18166e-05, 0.741292161, 0.0371204735,
-1.69738e-05, 1.1448441964, 0.5632291664, -0.9026112278,
1.1448447102, 0.562978981, 0.9027182521,
1.1454516521, -0.9993402516, 1.04943e-05]
assert abs(sum(zipWith(operator.sub)(coords)(expected_coords))) < 1e-7
def parse_molecule_traj(file_traj):
"""
Read Molecules from the *.traj file.
"""
mols = manyXYZ(file_traj)
# Last geometry corresponds to the optimized structure
opt_mol = mols[-1]
plams_mol = Molecule()
for at in opt_mol:
symb = at.symbol
cs = at.xyz
plams_mol.add_atom(Atom(symbol=symb, coords=tuple(cs)))
return plams_mol
def test_opt_orca():
"""
Test Orca input generation and run functions.
"""
h2o = Molecule('test/test_files/h2o.xyz', 'xyz', charge=0, multiplicity=1)
h2o_geometry = dftb(templates.geometry, h2o)
s = Settings()
# generic keyword "basis" must be present in the generic dictionary
s.basis = "sto_dzp"
# "specific" allows the user to apply specific keywords for a
# package that are not in a generic dictionary
# s.specific.adf.basis.core = "large"
r = templates.singlepoint.overlay(s)
h2o_singlepoint = orca(r, h2o_geometry.molecule)
dipole = h2o_singlepoint.dipole
final_result = run(dipole, n_processes=1)
expected_dipole = [0.82409, 0.1933, -0.08316]
diff = sqrt(sum((x - y)**2 for x, y in zip(final_result, expected_dipole)))
print("Expected dipole computed with Orca 3.0.3 is:", expected_dipole)
print("Actual dipole is:", final_result)
assert diff < 1e-2
def test_freq():
"""
Do some constraint optimizations then launch a freq calc.
"""
mol = Molecule("test/test_files/ethene.xyz", "xyz")
geo_opt = dftb(templates.geometry, mol)
freq_calc = dftb(templates.freq, geo_opt.molecule, job_name="freq")
r = run(freq_calc)
assert int(r.frequencies[0]) == 831
assert len(r.frequencies) == 12
def string_array_to_molecule(parser_fun, file_name):
"""
Convert a Numpy string array like:
[['C', '-1.487460', '-0.028670', '-0.000060'],
['O', '0.376340', '0.028670', '-0.000060'],
['H', '-1.818910', '-1.067060', '-0.000060'],
['H', '-1.866470', '0.473700', '0.889930'],
['H', '-1.866470', '0.473700', '-0.890040'],
['H', '0.756720', '-0.950010', '-0.000060']]
To a plams ``Molecule``.
"""
string_array_to_float = np.vectorize(float)
mols = parse_file(parser_fun, file_name).asList()
last_mol = np.array(mols[-1])
elems = last_mol[:, 0]
coords = string_array_to_float(last_mol[:, 1:])
plams_mol = Molecule()
for e, c in zip(elems, coords):
plams_mol.add_atom(Atom(symbol=e, coords=tuple(c)))
return plams_mol
def fragmentsjob(settings, mol, *frozen_frags):
mol_tot = Molecule()
frag_settings = Settings()
for i, frag in enumerate(frozen_frags):
frag_id = 'frag' + str(i+1)
for m in frag.mol_list:
for a in m:
a.fragment = frag_id
mol_tot += m
path = frag.result.kf.path + ' type=FDE'
frag_settings.specific.adf.fragments[frag_id] = path
frag_settings.specific.adf.fde.PW91k = ""
mol_tot += mol
return adf(settings.overlay(frag_settings), mol_tot, job_name = "fde")
def test_freq_ethylene():
"""
Run a methanol optimization and retrieve the optimized geom.
"""
ethylene = Molecule('test/test_files/ethylene.xyz')
s = Settings()
s.specific.orca.main = "freq"
s.specific.orca.basis.basis = 'sto_sz'
s.specific.orca.method.functional = 'lda'
s.specific.orca.method.method = 'dft'
freq = orca(s, ethylene)
mol = run(freq.molecule)
print(mol)
assert False
def rdkit2plams(rdkit_mol):
"""
Translate an RDKit molecule into a PLAMS molecule type
"""
plams_mol = Molecule()
total_charge = 0
Chem.Kekulize(rdkit_mol)
conf = rdkit_mol.GetConformer()
for atom in rdkit_mol.GetAtoms():
pos = conf.GetAtomPosition(atom.GetIdx())
ch = atom.GetFormalCharge()
plams_mol.add_atom(
Atom(atom.GetAtomicNum(), coords=(pos.x, pos.y, pos.z), charge=ch))
total_charge += ch
for bond in rdkit_mol.GetBonds():
at1 = plams_mol.atoms[bond.GetBeginAtomIdx()]
at2 = plams_mol.atoms[bond.GetEndAtomIdx()]
plams_mol.add_bond(Bond(at1, at2, bond.GetBondTypeAsDouble()))
plams_mol.charge = total_charge
for propname in rdkit_mol.GetPropNames():
plams_mol.properties[propname] = rdkit_mol.GetProp(propname)
return plams_mol
def add_fragments(job1, job2, switch=False):
print("path1: ", job1.kf.path)
print("path2: ", job2.kf.path)
mol_1 = job1.molecule.copy()
mol_2 = job2.molecule.copy()
for a in mol_1:
if not switch:
a.fragment = 'frag1'
else:
a.fragment = 'frag2'
for a in mol_2:
if not switch:
a.fragment = 'frag2'
else:
a.fragment = 'frag1'
m_tot = Molecule()
if not switch:
m_tot += mol_1 + mol_2
else:
m_tot += mol_2 + mol_1
return m_tot
def test_methanol_opt_orca():
"""
Run a methanol optimization and retrieve the optimized geom.
"""
methanol = Molecule('test/test_files/methanol.xyz')
s = Settings()
s.specific.orca.main = "RKS B3LYP SVP Opt TightSCF SmallPrint"
opt = orca(s, methanol)
mol_opt = run(opt.molecule)
expected_coords = [
-1.311116, -0.051535, -0.000062, 0.097548, 0.033890, -0.000077,
-1.683393, -1.092152, -0.000066, -1.734877, 0.448868, 0.891460,
-1.734894, 0.448881, -0.891567, 0.460481, -0.857621, -0.000038
]
coords = concat([a.coords for a in mol_opt.atoms])
assert abs(sum(zipWith(operator.sub)(coords)(expected_coords))) < 1e-7
def test_linear_ts():
"""
compute a first approximation to the TS.
"""
# Read the Molecule from file
cnc = Molecule('test/test_files/C-N-C.mol', 'mol')
# User define Settings
settings = Settings()
settings.functional = "pbe"
settings.basis = "SZ"
settings.specific.dftb.dftb.scc
constraint1 = Distance(0, 4)
constraint2 = Distance(2, 3)
# scan input
pes = PES(cnc,
constraints=[constraint1, constraint2],
offset=[2.3, 2.3],
get_current_values=False,
nsteps=2,
stepsize=[0.1, 0.1])
# returns a set of results object containing the output of
# each point in the scan
lt = pes.scan([dftb, adf], settings)
# Gets the object presenting the molecule
# with the maximum energy calculated from the scan
apprTS = select_max(lt, "energy")
# Run the TS optimization, using the default TS template
ts = run(apprTS)
expected_energy = -3.219708290363864
assert abs(ts.energy - expected_energy) < 0.02
from qmworks.components import PES_scan, select_max
import plams
# ========== =============
def bond_distance(r1, r2):
return sqrt(sum((x - y)**2 for x, y in zip(r1, r2)))
# ========== =============
plams.init()
# Read the Molecule from file
cnc = Molecule('C-N-C.mol', 'mol')
# User define Settings
settings = Settings()
settings.functional = "pbe"
settings.basis = "TZ2P"
settings.specific.dftb.dftb.scc
constraint1 = "dist 1 5"
constraint2 = "dist 3 4"
# scan input
scan = {
'constraint': [constraint1, constraint2],
'surface': {
'nsteps': 6,
for a in m:
a.fragment = frag_id
mol_tot += m
path = frag.result.kf.path + ' type=FDE'
frag_settings.specific.adf.fragments[frag_id] = path
frag_settings.specific.adf.fde.PW91k = ""
mol_tot += mol
return adf(settings.overlay(frag_settings), mol_tot, job_name = "fde")
# ----------------------------------------------------------------
plams.init()
# Read the Molecule from file
m_h2o_1 = Molecule('FDE-H2O-1.xyz')
m_h2o_2 = Molecule('FDE-H2O-2.xyz')
m_mol = Molecule('FDE-mol.xyz')
m_tot = m_mol + m_h2o_1 + m_h2o_2
print(m_tot)
settings = Settings()
settings.basis = 'SZ'
settings.specific.adf.nosymfit = ''
# Prepare first water molecule
r_h2o_1 = adf(templates.singlepoint.overlay(settings), m_h2o_1, job_name="h2o_1")
# Prepare second water molecule
