def writeLammpsData(
atoms,
data='data',
specorder=None,
masses={
'Al': 26.9820,
'C': 12.0000,
'H': 1.0080,
'O': 15.9990,
'N': 14.0000,
'F': 18.9980
},
force_skew=False,
velocities=False,
units="real",
atom_style='charge'):
"""Write atomic structure data to a LAMMPS data_ file."""
f = open(data, "w", encoding="ascii")
if isinstance(atoms, list):
if len(atoms) > 1:
raise ValueError(
"Can only write one configuration to a lammps data file!")
atoms = atoms[0]
f.write("{0} (written by ASE) \n\n".format(f.name))
symbols = atoms.get_chemical_symbols()
n_atoms = len(symbols)
f.write("{0} \t atoms \n".format(n_atoms))
if specorder is None:
# This way it is assured that LAMMPS atom types are always
# assigned predictably according to the alphabetic order
species = sorted(set(symbols))
else:
# To index elements in the LAMMPS data file
# (indices must correspond to order in the potential file)
species = specorder
n_atom_types = len(species)
f.write("{0} atom types\n".format(n_atom_types))
p = Prism(atoms.get_cell())
xhi, yhi, zhi, xy, xz, yz = convert(p.get_lammps_prism(), "distance",
"ASE", units)
f.write("0.0 {0:23.17g} xlo xhi\n".format(xhi))
f.write("0.0 {0:23.17g} ylo yhi\n".format(yhi))
f.write("0.0 {0:23.17g} zlo zhi\n".format(zhi))
if force_skew or p.is_skewed():
f.write("{0:23.17g} {1:23.17g} {2:23.17g} xy xz yz\n".format(
xy, xz, yz))
f.write("\n\n")
f.write("Masses \n\n")
for i, sp in enumerate(species):
f.write("%d %6.4f\n" % (i + 1, masses[sp]))
f.write("\n\n")
f.write("Atoms \n\n")
pos = p.vector_to_lammps(atoms.get_positions(), wrap=True)
if atom_style == 'atomic':
for i, r in enumerate(pos):
# Convert position from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
s = species.index(symbols[i]) + 1
f.write("{0:>6} {1:>3} {2:23.17g} {3:23.17g} {4:23.17g}\n".format(
*(i + 1, s) + tuple(r)))
elif atom_style == 'charge':
charges = atoms.get_initial_charges()
for i, (q, r) in enumerate(zip(charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
f.write("{0:>6} {1:>3} {2:>5} {3:23.17g} {4:23.17g} {5:23.17g}\n".
format(*(i + 1, s, q) + tuple(r)))
elif atom_style == 'full':
charges = atoms.get_initial_charges()
molecule = 1 # Assign all atoms to a single molecule
for i, (q, r) in enumerate(zip(charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
f.write(
"{0:>6} {1:>3} {2:>3} {3:>5} {4:23.17g} {5:23.17g} {6:23.17g}\n"
.format(*(i + 1, molecule, s, q) + tuple(r)))
else:
raise NotImplementedError
if velocities and atoms.get_velocities() is not None:
f.write("\n\nVelocities \n\n")
vel = p.vector_to_lammps(atoms.get_velocities())
for i, v in enumerate(vel):
# Convert velocity from ASE units to LAMMPS units
v = convert(v, "velocity", "ASE", units)
f.write("{0:>6} {1:23.17g} {2:23.17g} {3:23.17g}\n".format(
*(i + 1, ) + tuple(v)))
f.flush()
f.close()
def write_lammps_data(fileobj, atoms, specorder=None, force_skew=False,
prismobj=None, velocities=False, units="metal",
atom_style='atomic'):
"""Write atomic structure data to a LAMMPS data file."""
if isinstance(fileobj, basestring):
f = paropen(fileobj, "w", encoding="ascii")
close_file = True
else:
# Presume fileobj acts like a fileobj
f = fileobj
close_file = False
# FIXME: We should add a check here that the encoding of the file object
# is actually ascii once the 'encoding' attribute of IOFormat objects
# starts functioning in implementation (currently it doesn't do
# anything).
if isinstance(atoms, list):
if len(atoms) > 1:
raise ValueError(
"Can only write one configuration to a lammps data file!"
)
atoms = atoms[0]
f.write("{0} (written by ASE) \n\n".format(f.name))
symbols = atoms.get_chemical_symbols()
n_atoms = len(symbols)
f.write("{0} \t atoms \n".format(n_atoms))
if specorder is None:
# This way it is assured that LAMMPS atom types are always
# assigned predictably according to the alphabetic order
species = sorted(set(symbols))
else:
# To index elements in the LAMMPS data file
# (indices must correspond to order in the potential file)
species = specorder
n_atom_types = len(species)
f.write("{0} atom types\n".format(n_atom_types))
if prismobj is None:
p = Prism(atoms.get_cell())
else:
p = prismobj
# Get cell parameters and convert from ASE units to LAMMPS units
xhi, yhi, zhi, xy, xz, yz = convert(p.get_lammps_prism(), "distance",
"ASE", units)
f.write("0.0 {0:23.17g} xlo xhi\n".format(xhi))
f.write("0.0 {0:23.17g} ylo yhi\n".format(yhi))
f.write("0.0 {0:23.17g} zlo zhi\n".format(zhi))
if force_skew or p.is_skewed():
f.write(
"{0:23.17g} {1:23.17g} {2:23.17g} xy xz yz\n".format(
xy, xz, yz
)
)
f.write("\n\n")
f.write("Atoms \n\n")
pos = p.vector_to_lammps(atoms.get_positions(), wrap=True)
if atom_style == 'atomic':
for i, r in enumerate(pos):
# Convert position from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
s = species.index(symbols[i]) + 1
f.write(
"{0:>6} {1:>3} {2:23.17g} {3:23.17g} {4:23.17g}\n".format(
*(i + 1, s) + tuple(r)
)
)
elif atom_style == 'charge':
charges = atoms.get_initial_charges()
for i, (q, r) in enumerate(zip(charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
f.write(
"{0:>6} {1:>3} {2:>5} {3:23.17g} {4:23.17g} {5:23.17g}\n".format(
*(i + 1, s, q) + tuple(r)
)
)
elif atom_style == 'full':
charges = atoms.get_initial_charges()
molecule = 1 # Assign all atoms to a single molecule
for i, (q, r) in enumerate(zip(charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
f.write(
"{0:>6} {1:>3} {2:>3} {3:>5} {4:23.17g} {5:23.17g} {6:23.17g}\n".format(
*(i + 1, molecule, s, q) + tuple(r)
)
)
else:
raise NotImplementedError
if velocities and atoms.get_velocities() is not None:
f.write("\n\nVelocities \n\n")
vel = p.vector_to_lammps(atoms.get_velocities())
for i, v in enumerate(vel):
# Convert velocity from ASE units to LAMMPS units
v = convert(v, "velocity", "ASE", units)
f.write(
"{0:>6} {1:23.17g} {2:23.17g} {3:23.17g}\n".format(
*(i + 1,) + tuple(v)
)
)
f.flush()
if close_file:
f.close()
def write_lammps_data(fileobj,
atoms,
specorder=None,
force_skew=False,
prismobj=None,
velocities=False,
units="metal",
atom_style='atomic'):
"""Write atomic structure data to a LAMMPS data file."""
if isinstance(fileobj, str):
fd = paropen(fileobj, "w", encoding="ascii")
close_file = True
else:
# Presume fileobj acts like a fileobj
fd = fileobj
close_file = False
# FIXME: We should add a check here that the encoding of the file object
# is actually ascii once the 'encoding' attribute of IOFormat objects
# starts functioning in implementation (currently it doesn't do
# anything).
if isinstance(atoms, list):
if len(atoms) > 1:
raise ValueError(
"Can only write one configuration to a lammps data file!")
atoms = atoms[0]
if hasattr(fd, "name"):
fd.write("{0} (written by ASE) \n\n".format(fd.name))
else:
fd.write("(written by ASE) \n\n")
symbols = atoms.get_chemical_symbols()
n_atoms = len(symbols)
fd.write("{0} \t atoms \n".format(n_atoms))
if specorder is None:
# This way it is assured that LAMMPS atom types are always
# assigned predictably according to the alphabetic order
species = sorted(set(symbols))
else:
# To index elements in the LAMMPS data file
# (indices must correspond to order in the potential file)
species = specorder
n_atom_types = len(species)
fd.write("{0} atom types\n".format(n_atom_types))
if prismobj is None:
p = Prism(atoms.get_cell())
else:
p = prismobj
# Get cell parameters and convert from ASE units to LAMMPS units
xhi, yhi, zhi, xy, xz, yz = convert(p.get_lammps_prism(), "distance",
"ASE", units)
fd.write("0.0 {0:23.17g} xlo xhi\n".format(xhi))
fd.write("0.0 {0:23.17g} ylo yhi\n".format(yhi))
fd.write("0.0 {0:23.17g} zlo zhi\n".format(zhi))
if force_skew or p.is_skewed():
fd.write("{0:23.17g} {1:23.17g} {2:23.17g} xy xz yz\n".format(
xy, xz, yz))
fd.write("\n\n")
fd.write("Atoms \n\n")
pos = p.vector_to_lammps(atoms.get_positions(), wrap=True)
if atom_style == 'atomic':
for i, r in enumerate(pos):
# Convert position from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
s = species.index(symbols[i]) + 1
fd.write("{0:>6} {1:>3} {2:23.17g} {3:23.17g} {4:23.17g}\n".format(
*(i + 1, s) + tuple(r)))
elif atom_style == 'charge':
charges = atoms.get_initial_charges()
for i, (q, r) in enumerate(zip(charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
fd.write("{0:>6} {1:>3} {2:>5} {3:23.17g} {4:23.17g} {5:23.17g}\n".
format(*(i + 1, s, q) + tuple(r)))
elif atom_style == 'full':
charges = atoms.get_initial_charges()
# The label 'mol-id' has apparenlty been introduced in read earlier,
# but so far not implemented here. Wouldn't a 'underscored' label
# be better, i.e. 'mol_id' or 'molecule_id'?
if atoms.has('mol-id'):
molecules = atoms.get_array('mol-id')
if not np.issubdtype(molecules.dtype, np.integer):
raise TypeError(
("If 'atoms' object has 'mol-id' array, then"
" mol-id dtype must be subtype of np.integer, and"
" not {:s}.").format(str(molecules.dtype)))
if (len(molecules) != len(atoms)) or (molecules.ndim != 1):
raise TypeError(("If 'atoms' object has 'mol-id' array, then"
" each atom must have exactly one mol-id."))
else:
# Assigning each atom to a distinct molecule id would seem
# preferableabove assigning all atoms to a single molecule id per
# default, as done within ase <= v 3.19.1. I.e.,
# molecules = np.arange(start=1, stop=len(atoms)+1, step=1, dtype=int)
# However, according to LAMMPS default behavior,
molecules = np.zeros(len(atoms))
# which is what happens if one creates new atoms within LAMMPS
# without explicitly taking care of the molecule id.
# Quote from docs at https://lammps.sandia.gov/doc/read_data.html:
# The molecule ID is a 2nd identifier attached to an atom.
# Normally, it is a number from 1 to N, identifying which
# molecule the atom belongs to. It can be 0 if it is a
# non-bonded atom or if you don't care to keep track of molecule
# assignments.
for i, (m, q, r) in enumerate(zip(molecules, charges, pos)):
# Convert position and charge from ASE units to LAMMPS units
r = convert(r, "distance", "ASE", units)
q = convert(q, "charge", "ASE", units)
s = species.index(symbols[i]) + 1
fd.write("{0:>6} {1:>3} {2:>3} {3:>5} {4:23.17g} {5:23.17g} "
"{6:23.17g}\n".format(*(i + 1, m, s, q) + tuple(r)))
else:
raise NotImplementedError
if velocities and atoms.get_velocities() is not None:
fd.write("\n\nVelocities \n\n")
vel = p.vector_to_lammps(atoms.get_velocities())
for i, v in enumerate(vel):
# Convert velocity from ASE units to LAMMPS units
v = convert(v, "velocity", "ASE", units)
fd.write("{0:>6} {1:23.17g} {2:23.17g} {3:23.17g}\n".format(
*(i + 1, ) + tuple(v)))
fd.flush()
if close_file:
fd.close()
def create_bulk_crystal(name, size, round="up"):
"""Create a bulk crystal from a spacegroup description.
:param name: name of the crystal. A list can be found by @TODO
:type name: str
:param size: size of the bulk crystal. In the case of a triclinic cell, the dimensions are the ones along the diagonal of the cell matrix, and the crystal tilt decides the rest.
:type size: array_like with 3 elements
:return: ase.Atoms object containing the crystal
:rtype: ase.Atoms
"""
crystal = crystals[name]
a, b, c, alpha, beta, gamma = [
crystal[i] for i in ["a", "b", "c", "alpha", "beta", "gamma"]
]
lx, ly, lz = size[0], size[1], size[2]
# cellpar = [a, b, c, alpha, beta, gamma]
repeats = [
lx / a, ly / b / np.sin(np.radians(gamma)),
lz / c / np.sin(np.radians(alpha)) / np.sin(np.radians(beta))
]
if round == "up":
repeats = [int(np.ceil(i)) for i in repeats]
elif round == "down":
repeats = [int(np.floor(i)) for i in repeats]
elif round == "round":
repeats = [int(round(i)) for i in repeats]
else:
raise ValueError
myCrystal = ase.spacegroup.crystal(
crystal["elements"],
crystal["positions"],
spacegroup=crystal["spacegroup"],
cellpar=[
crystal[i] for i in ["a", "b", "c", "alpha", "beta", "gamma"]
],
size=repeats)
###############################################################################
# Creating a Lammps prism and then recreating the ase cell is necessary
# to avoid flipping of the simulation cell when outputing the lammps data file
# By making the transformation here, what we see in the lammps output is the same as
# the system we are actually carving into
p = Prism(myCrystal.cell)
xhi, yhi, zhi, xy, xz, yz = p.get_lammps_prism()
xlo, ylo, zlo = 0, 0, 0
cell = np.zeros((3, 3))
cell[0, 0] = xhi - xlo
cell[1, 1] = yhi - ylo
cell[2, 2] = zhi - zlo
if xy is not None:
cell[1, 0] = xy
if xz is not None:
cell[2, 0] = xz
if yz is not None:
cell[2, 1] = yz
myCrystal.set_cell(cell)
myCrystal.wrap()
##################################################################################
return myCrystal