def eggbox(self):
atom = Atoms(self.symbol, pbc=True, cell=(self.a, self.a, self.a))
negg = 25
self.Eegg = np.zeros((self.ng, negg))
self.Fegg = np.zeros((self.ng, negg))
eigensolver = 'rmm-diis'
if self.symbol in ['Na', 'Mg']: eigensolver = 'cg'
if self.symbol in ['Sc', 'Ti', 'V', 'Mn', 'Ni',
'Zn']: eigensolver = 'cg'
if self.symbol in ['Zr', 'Nb', 'Mo', 'Ru', 'Rh', 'Pd',
'Ag']: eigensolver = 'cg'
if self.symbol in ['Sn', 'Sb', 'Te', 'Ba']: eigensolver = 'cg'
if self.symbol in ['Hf', 'Ta', 'W', 'Re', 'Os',
'Ir', 'Pt', 'Hg', 'Pb', 'Bi']: eigensolver = 'cg'
for i in range(self.ng):
h = self.gridspacings[i]
calc = GPAW(h=h, txt='%s-eggbox-%.3f.txt' % (self.symbol, h),
mixer=Mixer(beta=0.1, nmaxold=5, weight=50),
eigensolver=eigensolver,
maxiter=300,
nbands=-10,
**self.parameters)
atom.set_calculator(calc)
for j in range(negg):
x = h * j / (2 * negg - 2)
atom[0].x = x
try:
e = calc.get_potential_energy(atom, force_consistent=True)
self.Eegg[i, j] = e
except ConvergenceError:
raise
self.Fegg[i, j] = atom.get_forces()[0, 0]
def dimer(self):
dimer = Atoms([self.symbol, self.symbol],
pbc=True, cell=(self.a, self.a, self.a))
self.Edimer = np.zeros((self.ng, 7))
self.Fdimer = np.zeros((self.ng, 7, 2))
q0 = self.d0 / np.sqrt(3)
eigensolver = 'rmm-diis'
if self.symbol in ['Ti', 'Sn', 'Te', 'Ba']: eigensolver = 'cg'
for i in range(self.ng):
h = self.gridspacings[i]
calc = GPAW(h=h, txt='%s-dimer-%.3f.txt' % (self.symbol, h),
mixer=Mixer(beta=0.1, nmaxold=5, weight=50),
#mixer=Mixer(beta=0.05, nmaxold=7, weight=100),
eigensolver=eigensolver,
maxiter=300,
nbands=-10,
**self.parameters)
dimer.set_calculator(calc)
y = []
for j in range(-3, 4):
q = q0 * (1 + j * 0.02)
dimer.positions[1] = (q, q, q)
try:
e = calc.get_potential_energy(dimer, force_consistent=True)
self.Edimer[i, j + 3] = e
except ConvergenceError:
raise
self.Fdimer[i, j + 3] = dimer.get_forces()[:, 0]
def setup_calculator(self, system, formula):
hund = (len(system) == 1)
cell = system.get_cell()
h = self.h
system.set_cell((cell / (4 * h)).round() * 4 * h)
system.center()
calc = GPAW(xc=self.xc,
h=h,
hund=hund,
fixmom=True,
setups=self.setups,
txt=self.get_filename(formula, extension='txt'),
mode=self.mode,
basis=self.basis
)
# Special cases
if formula == 'BeH':
calc.set(idiotproof=False)
#calc.initialize(system)
#calc.nuclei[0].f_si = [(1, 0, 0.5, 0, 0),
# (0.5, 0, 0, 0, 0)]
if formula in self.bad_formulas:
system.positions[:, 1] += h * 1.5
return calc
def get_forces(self, atoms):
"""
Altered version of the original get_forces function in the GPAW-class.
The function obtains the DFT forces by using the original call for the
GPAW package and adds the DFT-D contribution to the calculated forces.
"""
#
# Conversion factors a.u. -> eV and a.u. -> eV/Angst
Eh__2__eV = 27.211396132
Eh_rb__2__eV_Angst = 51.422086162
#
# Calling original VASP-calculator for forces
self.dft_forces = GPAW.get_forces(self, atoms)
#
# Get functional name as string
self.functional = xc_name(str.lower(GPAW.get_xc_functional(self)))
#
# Call DFT-D module: Energy and gradients
self.dispersion_correction, self.dft_d_gradient_contribution = d2_pbc(atoms,self.functional)
#
# Convert to proper units
self.dispersion_correction = self.dispersion_correction * Eh__2__eV
self.dft_d_gradient_contribution = self.dft_d_gradient_contribution * Eh_rb__2__eV_Angst
#
# Adding correction contributions to forces
# Note the (-) sign: DFT-D module delivers gradients, not forces
return self.dft_forces - self.dft_d_gradient_contribution
def fulldiag(filename, bands=None, scalapack=1, dry_run=False):
"""Set up full H and S matrices and find all or some eigenvectors/values.
calc: str
Filename of gpw-file.
bands: int
Number of bands to calculate. Defaults to all.
scalapack: int
Number of cores to use for ScaLapack. Default is one.
dry_run: bool
Don't do actual calculation.
"""
name, ext = filename.rsplit('.', 1)
assert ext == 'gpw'
calc = GPAW(filename,
parallel={'band': scalapack},
txt=name + '-all.txt')
if not dry_run:
calc.diagonalize_full_hamiltonian(bands)
calc.write(name + '-all.gpw', 'all')
ng = calc.wfs.pd.ngmax
mem = ng**2 * 16 / 1024**2
print('Maximum matrix size: {0}x{0} = {1:.3f} MB'.format(ng, mem))
def GLLBSC_fail():
calc = GPAW(xc='GLLBSC', eigensolver='cg', kpts=(1,2,1), convergence={'density':1e-8})
atoms.set_calculator(calc)
atoms.get_potential_energy()
calc.set(kpts=(4,1,1))
return atoms.get_potential_energy()
def get_potential_energy(self, atoms, force_consistent=False):
"""
Altered version of the original get_potential_energy function
in the class GPAW. The function obtains the DFT energy by using
the original call for the GPAW package and adds the DFT-D3 contribution
to the converged SCF-energy.
"""
#
# Conversion factors a.u. -> eV
Eh__2__eV = 27.211396132
#
# Calling original GPAW-calculator for energy
self.ks_scf_energy = GPAW.get_potential_energy(self, atoms, force_consistent)
#
# Get functional name as string
self.functional = xc_name(str.lower(GPAW.get_xc_functional(self)))
#
# Call DFT-D module: Energy and gradients
self.dispersion_correction, self.dft_d_gradient_contribution = d3_pbc(atoms, self.functional)
#
# Convert to proper units
self.dispersion_correction = self.dispersion_correction * Eh__2__eV
#
# # Print out components (Useful?)
# print
# print 'DFT total energy : ', self.ks_scf_energy
# print 'DFT-D3 correction : ', self.dispersion_correction
# print
# print 'DFT-D3 final corrected energy: ', self.ks_scf_energy + self.dispersion_correction
# print
#
# Adding correction contribution to energy
return self.ks_scf_energy + self.dispersion_correction
def test():
vdw = VDWFunctional('vdW-DF', verbose=1)
d = 3.9
x = d / sqrt(3)
L = 3.0 + 2 * 4.0
dimer = Atoms('Ar2', [(0, 0, 0), (x, x, x)], cell=(L, L, L))
dimer.center()
calc = GPAW(h=0.2, xc='revPBE')
dimer.set_calculator(calc)
e2 = dimer.get_potential_energy()
calc.write('Ar2.gpw')
e2vdw = calc.get_xc_difference(vdw)
e2vdwb = GPAW('Ar2.gpw').get_xc_difference(vdw)
print(e2vdwb - e2vdw)
assert abs(e2vdwb - e2vdw) < 1e-9
del dimer[1]
e = dimer.get_potential_energy()
evdw = calc.get_xc_difference(vdw)
E = 2 * e - e2
Evdw = E + 2 * evdw - e2vdw
print(E, Evdw)
assert abs(E - -0.0048) < 6e-3, abs(E)
assert abs(Evdw - +0.0223) < 3e-2, abs(Evdw)
print(e2, e)
equal(e2, -0.001581923, energy_tolerance)
equal(e, -0.003224226, energy_tolerance)
def dos(filename, plot=False, output='dos.csv', width=0.1):
"""Calculate density of states.
filename: str
Name of restart-file.
plot: bool
Show a plot.
output: str
Name of CSV output file.
width: float
Width of Gaussians.
"""
from gpaw import GPAW
from ase.dft.dos import DOS
calc = GPAW(filename, txt=None)
dos = DOS(calc, width)
D = [dos.get_dos(spin) for spin in range(calc.get_number_of_spins())]
if output:
fd = sys.stdout if output == '-' else open(output, 'w')
for x in zip(dos.energies, *D):
print(*x, sep=', ', file=fd)
if output != '-':
fd.close()
if plot:
import matplotlib.pyplot as plt
for y in D:
plt.plot(dos.energies, y)
plt.show()
def get_exact_exchange(self, ecut=None, communicator=world, file='EXX.pckl'):
try:
self.ini
except:
self.initialize()
self.printtxt('------------------------------------------------')
self.printtxt("calculating Exact exchange and E_XC")
calc = GPAW(self.file, communicator=communicator, parallel={'domain':1, 'band':1}, txt=None)
v_xc = vxc(calc)
if ecut == None:
ecut = self.ecut.max()
else:
ecut /= Hartree
if self.pwmode: # planewave mode
from gpaw.xc.hybridg import HybridXC
self.printtxt('Use planewave ecut from groundstate calculator: %4.1f eV' % (calc.wfs.pd.ecut*Hartree) )
exx = HybridXC('EXX', alpha=5.0, bandstructure=True, bands=self.bands)
else: # grid mode
from gpaw.xc.hybridk import HybridXC
self.printtxt('Planewave ecut (eV): %4.1f' % (ecut*Hartree) )
exx = HybridXC('EXX', alpha=5.0, ecut=ecut, bands=self.bands)
calc.get_xc_difference(exx)
e_skn = np.zeros((self.nspins, self.gwnkpt, self.gwnband), dtype=float)
f_skn = np.zeros((self.nspins, self.gwnkpt, self.gwnband), dtype=float)
vxc_skn = np.zeros((self.nspins, self.gwnkpt, self.gwnband), dtype=float)
exx_skn = np.zeros((self.nspins, self.gwnkpt, self.gwnband), dtype=float)
for s in range(self.nspins):
for i, k in enumerate(self.gwkpt_k):
ik = self.kd.bz2ibz_k[k]
for j, n in enumerate(self.gwbands_n):
e_skn[s][i][j] = self.e_skn[s][ik][n]
f_skn[s][i][j] = self.f_skn[s][ik][n]
vxc_skn[s][i][j] = v_xc[s][ik][n] / Hartree
exx_skn[s][i][j] = exx.exx_skn[s][ik][n]
if self.eshift is not None:
if e_skn[s][i][j] > self.eFermi:
vxc_skn[s][i][j] += self.eshift / Hartree
data = {
'e_skn': e_skn, # in Hartree
'vxc_skn': vxc_skn, # in Hartree
'exx_skn': exx_skn, # in Hartree
'f_skn': f_skn,
'gwkpt_k': self.gwkpt_k,
'gwbands_n': self.gwbands_n
}
if rank == 0:
pickle.dump(data, open(file, 'w'), -1)
self.printtxt("------------------------------------------------")
self.printtxt("non-selfconsistent HF eigenvalues are (eV):")
self.printtxt((e_skn - vxc_skn + exx_skn)*Hartree)
class UTGroundStateSetup(TestCase):
"""
Setup a simple calculation starting from ground state."""
# Number of bands
nbands = 1
# Spin-paired, single kpoint
nspins = 1
nibzkpts = 1
# Mean spacing and number of grid points per axis (G x G x G)
h = 0.25 / Bohr
def setUp(self):
for virtvar in []:
assert getattr(self,virtvar) is not None, 'Virtual "%s"!' % virtvar
parsize_domain, parsize_bands = create_parsize_maxbands(self.nbands, world.size)
self.parallel = {'domain': parsize_domain, 'band': parsize_bands}
self.atoms = molecule('Na2')
self.atoms.center(vacuum=4.0)
self.atoms.set_pbc(False)
cell_c = np.sum(self.atoms.get_cell()**2, axis=1)**0.5 / Bohr
ngpts = 16 * np.round(cell_c / (self.h * 16))
self.gsname = 'ut_tddft_gs'
self.gscalc = GPAW(gpts=ngpts, nbands=self.nbands, basis='dzp',
setups={'Na': '1'},
spinpol=(self.nspins==2), parallel=self.parallel,
txt=self.gsname + '.txt')
def tearDown(self):
del self.atoms, self.gscalc
# =================================
def verify_comm_sizes(self):
if world.size == 1:
return
rem = world.size // (self.parallel['band'] * self.parallel['domain'])
comm_sizes = (world.size, self.parallel['band'],
self.parallel['domain'], rem)
self._parinfo = '%d world, %d band, %d domain, %d kpt' % comm_sizes
self.assertEqual(self.nbands % self.parallel['band'], 0)
self.assertEqual((self.nspins * self.nibzkpts) % rem, 0)
def verify_ground_state(self):
#XXX DEBUG START
if debug and os.path.isfile(self.gsname + '.gpw'):
return
#XXX DEBUG END
self.atoms.set_calculator(self.gscalc)
self.assertAlmostEqual(self.atoms.get_potential_energy(), -1.0621, 4)
self.gscalc.write(self.gsname + '.gpw', mode='all')
self.assertTrue(os.path.isfile(self.gsname + '.gpw'))
def energy(N, k, a=4.05):
fcc = fcc100('Al', (1, 1, N), a=a, vacuum=7.5)
fcc.center(axis=2)
calc = GPAW(nbands=N * 5,
kpts=(k, k, 1),
h=0.25,
txt='slab-%d.txt' % N)
fcc.set_calculator(calc)
e = fcc.get_potential_energy()
calc.write('slab-%d.gpw' % N)
return e
def f(kpts, n, magmom, pbc, dd):
global de1
H = Atoms([Atom('H',(a/2, a/2, a/2), magmom=magmom)],
pbc=pbc,
cell=(a, a, a))
H.set_calculator(GPAW(nbands=1, gpts=(n, n, n), kpts=kpts,
txt=None, tolerance=0.0001,
parsize=dd))
e = H.get_potential_energy()
H.get_calculator().write('H-par.gpw')
c = GPAW('H-par.gpw', txt=None)
H = c.get_atoms()
de = abs(H.get_potential_energy() - e)
if de > de1:
de1 = de
assert de < 1e-15
return e
def ground_state(self, filename, **kwargs):
# GPAW calculator for the ground state
self.gs_calc = GPAW(gpts = self.gpts,
poissonsolver = self.poissonsolver,
**kwargs
)
self.atoms.set_calculator(self.gs_calc)
self.energy = self.atoms.get_potential_energy()
self.write(filename, mode='all')
def f(kpts, n, magmom, periodic, dd):
global de1
H = Atoms('H', positions=[(a/2, a/2, a/2)], magmoms=[magmom],
pbc=periodic,
cell=(a, a, a))
H.set_calculator(GPAW(nbands=1, gpts=(n, n, n), kpts=kpts,
txt=None,
convergence={'eigenstates': 0.0001},
parsize=dd))
e = H.get_potential_energy()
H.get_calculator().write('/tmp/H-par.gpw')
c = GPAW('/tmp/H-par.gpw', txt=None)
H = c.get_atoms()
de = abs(H.get_potential_energy() - e)
if de > de1:
de1 = de
assert de < 1e-15
return e
def do_calculations(self, formulas):
"""Perform calculation on molecules, write results to .gpw files."""
atoms = {}
for formula in formulas:
for symbol in string2symbols(formula.split('_')[0]):
atoms[symbol] = None
formulas = formulas + atoms.keys()
for formula in formulas:
if path.isfile(formula + '.gpw'):
continue
barrier()
open(formula + '.gpw', 'w')
s = molecule(formula)
s.center(vacuum=self.vacuum)
cell = s.get_cell()
h = self.h
s.set_cell((cell / (4 * h)).round() * 4 * h)
s.center()
calc = GPAW(h=h,
xc=self.xc,
eigensolver=self.eigensolver,
setups=self.setups,
basis=self.basis,
fixmom=True,
txt=formula + '.txt')
if len(s) == 1:
calc.set(hund=True)
s.set_calculator(calc)
if formula == 'BeH':
calc.initialize(s)
calc.nuclei[0].f_si = [(1, 0, 0.5, 0, 0),
(0.5, 0, 0, 0, 0)]
if formula in ['NO', 'ClO', 'CH']:
s.positions[:, 1] += h * 1.5
try:
energy = s.get_potential_energy()
except (RuntimeError, ConvergenceError):
if rank == 0:
print >> sys.stderr, 'Error in', formula
traceback.print_exc(file=sys.stderr)
else:
print >> self.txt, formula, repr(energy)
self.txt.flush()
calc.write(formula)
if formula in diatomic and self.calculate_dimer_bond_lengths:
traj = PickleTrajectory(formula + '.traj', 'w')
d = diatomic[formula][1]
for x in range(-2, 3):
s.set_distance(0, 1, d * (1.0 + x * 0.02))
traj.write(s)
def aual100(site, height, calc=None):
slab = fcc100('Al', size=(2, 2, 1))
add_adsorbate(slab, 'Au', height, site)
slab.center(axis=2, vacuum=3.0)
mask = [atom.symbol == 'Al' for atom in slab]
fixlayer = FixAtoms(mask=mask)
slab.set_constraint(fixlayer)
if calc is None:
calc = GPAW(h=0.25, kpts=(2, 2, 1), xc='PBE', txt=site + '.txt')
slab.set_calculator(calc)
qn = QuasiNewton(slab, trajectory=site + '.traj')
qn.run(fmax=0.05)
if isinstance(calc, GPAW):
calc.write(site + '.gpw')
return slab.get_potential_energy()
def create_calc(name, spinpol, pbc):
# Bond lengths between H-C and C-C for ethyne (acetylene) cf.
# CRC Handbook of Chemistry and Physics, 87th ed., p. 9-28
dhc = 1.060
dcc = 1.203
atoms = Atoms([Atom('H', (0, 0, 0)),
Atom('C', (dhc, 0, 0)),
Atom('C', (dhc+dcc, 0, 0)),
Atom('H', (2*dhc+dcc, 0, 0))],
pbc=pbc)
atoms.center(vacuum=2.0)
# Number of occupied and unoccupied bands to converge
nbands = int(10/2.0)
nextra = 3
#TODO use pbc and cell to calculate nkpts
kwargs = {}
if spinpol:
kwargs['mixer'] = MixerSum(nmaxold=5, beta=0.1, weight=100)
else:
kwargs['mixer'] = Mixer(nmaxold=5, beta=0.1, weight=100)
calc = GPAW(h=0.3,
nbands=nbands+nextra,
xc='PBE',
spinpol=spinpol,
eigensolver='cg',
convergence={'energy':1e-4/len(atoms), 'density':1e-5, \
'eigenstates': 1e-9, 'bands':-1},
txt=name+'.txt', **kwargs)
atoms.set_calculator(calc)
atoms.get_potential_energy()
calc.write(name+'.gpw', mode='all')
def xc(filename, xc, ecut=None):
"""Calculate non self-consitent energy.
filename: str
Name of restart-file.
xc: str
Functional
ecut: float
Plane-wave cutoff for exact exchange.
"""
name, ext = filename.rsplit(".", 1)
assert ext == "gpw"
if xc in ["EXX", "PBE0", "B3LYP"]:
from gpaw.xc.exx import EXX
exx = EXX(filename, xc, ecut=ecut, txt=name + "-exx.txt")
exx.calculate()
e = exx.get_total_energy()
else:
from gpaw import GPAW
calc = GPAW(filename, txt=None)
e = calc.get_potential_energy() + calc.get_xc_difference(xc)
print(e, "eV")
def setUp(self):
for virtvar in []:
assert getattr(self,virtvar) is not None, 'Virtual "%s"!' % virtvar
parsize_domain, parsize_bands = create_parsize_maxbands(self.nbands, world.size)
self.parallel = {'domain': parsize_domain, 'band': parsize_bands}
self.atoms = molecule('Na2')
self.atoms.center(vacuum=4.0)
self.atoms.set_pbc(False)
cell_c = np.sum(self.atoms.get_cell()**2, axis=1)**0.5 / Bohr
ngpts = 16 * np.round(cell_c / (self.h * 16))
self.gsname = 'ut_tddft_gs'
self.gscalc = GPAW(gpts=ngpts, nbands=self.nbands, basis='dzp',
setups={'Na': '1'},
spinpol=(self.nspins==2), parallel=self.parallel,
txt=self.gsname + '.txt')
def get_dispersion_correction(self, atoms):
"""
Returns the DFT-D dispersion correction for the current geometry
"""
#
# Conversion factors a.u. -> eV
Eh__2__eV = 27.211396132
#
# Get functional name as string
self.functional = xc_name(str.lower(GPAW.get_xc_functional(self)))
#
# Call DFT-D module: Energy and gradients
self.dispersion_correction, self.dft_d_gradient_contribution = d2_pbc(atoms, self.functional)
#
# Convert to proper units
self.dispersion_correction = self.dispersion_correction * Eh__2__eV
#
#
# Return dispersion correction
return self.dispersion_correction
def check_degenerate_bands(filename, etol):
from gpaw import GPAW
calc = GPAW(filename,txt=None)
print('Number of Electrons :', calc.get_number_of_electrons())
nibzkpt = calc.get_ibz_k_points().shape[0]
nbands = calc.get_number_of_bands()
print('Number of Bands :', nbands)
print('Number of ibz-kpoints :', nibzkpt)
e_kn = np.array([calc.get_eigenvalues(k) for k in range(nibzkpt)])
f_kn = np.array([calc.get_occupation_numbers(k) for k in range(nibzkpt)])
for k in range(nibzkpt):
for n in range(1,nbands):
if (f_kn[k,n-1] - f_kn[k,n] > 1e-5) and (np.abs(e_kn[k,n] - e_kn[k,n-1]) < etol):
print(k, n, e_kn[k,n], e_kn[k, n-1])
return
def setUp(self):
for virtvar in []:
assert getattr(self, virtvar) is not None, 'Virtual "%s"!' % virtvar
parsize_domain, parsize_bands = create_parsize_maxbands(self.nbands, world.size)
self.parallel = {"domain": parsize_domain, "band": parsize_bands}
self.atoms = molecule("Na2")
self.atoms.center(vacuum=4.0)
self.atoms.set_pbc(False)
cell_c = np.sum(self.atoms.get_cell() ** 2, axis=1) ** 0.5 / Bohr
ngpts = 16 * np.round(cell_c / (self.h * 16))
self.gsname = "ut_tddft_gs"
self.gscalc = GPAW(
gpts=ngpts,
nbands=self.nbands,
basis="dzp",
setups={"Na": "1"},
spinpol=(self.nspins == 2),
parallel=self.parallel,
txt=self.gsname + ".txt",
)
def test():
h=4.02
vdw = FFTVDWFunctional(verbose=1)
L=20
a=3.52
atoms = Atoms(pbc=(True, True, True), cell=(a/sqrt(2), sqrt(6)*a/2.0, L))
atoms.append(Atom('C',[1.5*a/sqrt(2)*1.0/3,a/sqrt(2)*sqrt(3)/2*1.0/3, L/2+h]))
atoms.append(Atom('C',[1.5*a/sqrt(2)*2.0/3,a/sqrt(2)*sqrt(3)/2*2.0/3, L/2+h]))
atoms.append(Atom('C',[a/sqrt(2)/2.0+1.5*a/sqrt(2)*1.0/3,sqrt(6)*a/4.0+a/sqrt(2)*sqrt(3)/2*1.0/3, L/2+h]))
atoms.append(Atom('C',[a/sqrt(2)/2.0+1.5*a/sqrt(2)*2.0/3-a/sqrt(2),sqrt(6)*a/4.0+a/sqrt(2)*sqrt(3)/2*2.0/3, L/2+h]))
atoms.append(Atom('C',[1.5*a/sqrt(2)*1.0/3,a/sqrt(2)*sqrt(3)/2*1.0/3+2.874/2, L/2]))
atoms.append(Atom('C',[1.5*a/sqrt(2)*2.0/3,a/sqrt(2)*sqrt(3)/2*2.0/3+2.874/2, L/2]))
atoms.append(Atom('C',[a/sqrt(2)/2.0+1.5*a/sqrt(2)*1.0/3,sqrt(6)*a/4.0+a/sqrt(2)*sqrt(3)/2*1.0/3+2.874/2, L/2]))
atoms.append(Atom('C',[a/sqrt(2)/2.0+1.5*a/sqrt(2)*2.0/3-a/sqrt(2),sqrt(6)*a/4.0+a/sqrt(2)*sqrt(3)/2*2.0/3+2.874/2, L/2]))
calc = GPAW(h=0.18, xc='revPBE',kpts=(8,8,1),txt=str(h)+'.txt')
atoms.set_calculator(calc)
e2 = atoms.get_potential_energy()
calc.write('gr_dilayer.gpw')
e2vdw = calc.get_xc_difference(vdw)
del atoms[4:]
e = atoms.get_potential_energy()
calc.write('gr_dilayer.gpw')
evdw = calc.get_xc_difference(vdw)
E = 2 * e - e2
Evdw = E + 2 * evdw - e2vdw
print E, Evdw
assert abs(E +0.032131069056 ) < 1e-4
assert abs(Evdw- 0.144516773316) < 1e-4
from ase import Atoms
from gpaw import GPAW, PW
from ase.optimize import BFGS
from ase.build import fcc111, add_adsorbate, bulk
from gpaw import GPAW, PW
from ase.io import read, write
from ase.constraints import FixAtoms
adsorbate = Atoms('CO')
adsorbate[1].z = 1.43 #panjang ikatan CO
adsorbate.center(vacuum=5)
c = FixAtoms(indices=[0])
adsorbate.set_constraint(c)
calc = GPAW(mode=PW(750), xc='PBE', parallel={'band': 1}, txt='relax-co.txt')
adsorbate.calc = calc
adsorbate.get_potential_energy()
relax = BFGS(adsorbate, logfile='bfgs.log', trajectory='co.traj')
relax.run(fmax=0.05)
filename = 'atoms_'+name+'.dat'
f = paropen(filename,'w')
elements = ['N']
for symbol in elements:
mixer = Mixer()
eigensolver = CG(tw_coeff=lambda_coeff)
poissonsolver=PoissonSolver()
molecule = Atoms(symbol,
positions=[(c,c,c)] ,
cell=(a,a,a))
calc = GPAW(h=h,
xc=xcname,
maxiter=240,
eigensolver=eigensolver,
mixer=mixer,
setups=name,
poissonsolver=poissonsolver)
molecule.set_calculator(calc)
E = molecule.get_total_energy()
f.write('{0}\t{1}\n'.format(symbol,E))
#!/usr/bin/env python
import numpy as np
from ase import Atom, Atoms
from ase.parallel import rank
from gpaw import GPAW
from gpaw.test import equal
try:
calc = GPAW('NaCl.gpw')
NaCl = calc.get_atoms()
e = NaCl.get_potential_energy()
niter = None
except IOError:
h = 0.21 # gridspacing
a = [6.5, 6.5, 7.7] # unit cell
d = 2.3608 # experimental bond length
NaCl = Atoms(
[Atom('Na', [0, 0, 0]), Atom('Cl', [0, 0, d])], pbc=False, cell=a)
NaCl.center()
calc = GPAW(h=h,
xc='LDA',
nbands=5,
lmax=0,
convergence={'eigenstates': 1e-6},
spinpol=1)
NaCl.set_calculator(calc)
e = NaCl.get_potential_energy()
from ase import Atoms
from ase.parallel import paropen
from gpaw import GPAW
from gpaw.wavefunctions.pw import PW
resultfile = paropen('H.ralda.DFT_corr_energies.txt', 'w')
resultfile.write('DFT Correlation energies for H atom\n')
H = Atoms('H', [(0, 0, 0)])
H.set_pbc(True)
H.center(vacuum=2.0)
calc = GPAW(mode=PW(300, force_complex_dtype=True),
parallel={'domain': 1},
hund=True,
txt='H.ralda_01_lda.output.txt',
xc='LDA')
H.set_calculator(calc)
E_lda = H.get_potential_energy()
E_c_lda = -calc.get_xc_difference('LDA_X')
resultfile.write('LDA correlation: %s eV' % E_c_lda)
resultfile.write('\n')
calc.diagonalize_full_hamiltonian()
calc.write('H.ralda.lda_wfcs.gpw', mode='all')
from ase import Atoms
from ase.build import fcc111, add_adsorbate, bulk
from ase.io import read, write
from gpaw import GPAW, PW
a = 3.597 #lattice Cu
slab = fcc111('Cu', (1, 1, 3), a=a, vacuum=10.0)
for k in range(2, 11, 1):
calc = GPAW(mode=PW(850),
xc='PBE',
kpts=(k, k, 1),
parallel={'band': 1},
txt='scf-k_%d.txt' % k)
slab.calc = calc
slab.get_potential_energy()
from ase.build import bulk
from gpaw import GPAW, PW, FermiDirac
from ase.units import Bohr, Hartree
import numpy as np
atoms = bulk("Si", "diamond", a=10.2631 * Bohr)
ecutwfc = 15.0 * Hartree
for kden in np.linspace(1.0, 5.0, 9):
calc = GPAW(mode=PW(ecutwfc),
occupations=FermiDirac(0.0),
kpts={"density": kden},
txt="LOG_kden_v2_" + str(kden))
atoms.set_calculator(calc)
etot = atoms.get_potential_energy()
print("%6.3f %18.10f %18.10f" % (kden, etot, etot / Hartree))
# Set calculator
# loop a number of times to capture if minimization stops with high force
# due to the VariansBreak calls
niter = 0
# If the structure is already fully relaxed just return it
traj = Trajectory(label + '_lcao.traj', 'w', structure)
while (structure.get_forces()**
2).sum(axis=1).max()**0.5 > forcemax and niter < niter_max:
dyn = BFGS(structure, logfile=label + '.log')
vb = VariansBreak(structure, dyn, min_stdev=0.01, N=15)
dyn.attach(traj)
dyn.attach(vb)
dyn.run(fmax=forcemax, steps=steps)
niter += 1
#print('relaxgpaw over',flush=True)
return structure
calc = GPAW(mode=PW(500), xc='PBE', basis='dzp', kpts=(3, 3, 1))
traj = Trajectory('V2O5_2H2OTiO2_101_DFTrelaxed.traj', 'w')
name = 'V2O5_2H2OTiO2_101surface_gm'
data = read('V2O5_2H2O_TiO2_I3s.traj@:')
for i in range(0, len(data)):
name = 'V2O5_2H2OTiO2_101surface_isomer_{}'.format(i)
a = data[i]
a.set_calculator(calc)
a_relaxed = relaxGPAW(a, name, forcemax=0.01, niter_max=2, steps=100)
traj.write(a_relaxed)
from ase.constraints import ExpCellFilter
from ase.io import write
from ase.optimize import BFGS
from ase.spacegroup import crystal
from gpaw import GPAW, PW
a = 4.6
c = 2.95
# Rutile TiO2:
atoms = crystal(['Ti', 'O'],
basis=[(0, 0, 0), (0.3, 0.3, 0.0)],
spacegroup=136,
cellpar=[a, a, c, 90, 90, 90])
write('rutile.traj', atoms)
calc = GPAW(mode=PW(800), kpts=[2, 2, 3], txt='gpaw.rutile.txt')
atoms.calc = calc
opt = BFGS(ExpCellFilter(atoms), trajectory='opt.rutile.traj')
opt.run(fmax=0.05)
calc.write('groundstate.rutile.gpw')
print('Final lattice:')
print(atoms.cell.get_bravais_lattice())
from gpaw.lrtddft import LrTDDFT, photoabsorption_spectrum
from gpaw.lrtddft.kssingle import KSSingles
from cStringIO import StringIO
L = 10.0
txt=None
txt='-'
N2 = molecule('N2')
N2.set_cell([L, L, L])
#N2.set_pbc(True)
N2.center()
try:
calc = GPAW('N2_wfs.gpw',
txt=txt,
parallel={'domain': world.size})
calc.converge_wave_functions()
except:
calc = GPAW(h=0.25,
nbands=-5,
spinpol=True,
xc='PBE',
txt=txt,
eigensolver='cg',
parallel={'domain': world.size})
N2.set_calculator(calc)
E0 = N2.get_potential_energy()
calc.write('N2_wfs.gpw', 'all')
# selections
#!/usr/bin/env python
from ase import Atoms
from gpaw import GPAW, restart
from gpaw.test import equal
from gpaw.utilities.kspot import CoreEigenvalues
a = 7.0
calc = GPAW(h=0.1)
system = Atoms('Ne', calculator=calc)
system.center(vacuum=a / 2)
e0 = system.get_potential_energy()
niter0 = calc.get_number_of_iterations()
calc.write('Ne.gpw')
del calc, system
atoms, calc = restart('Ne.gpw')
calc.restore_state()
e_j = CoreEigenvalues(calc).get_core_eigenvalues(0)
assert abs(e_j[0] - (-30.344066)) * 27.21 < 0.1 # Error smaller than 0.1 eV
energy_tolerance = 0.0004
equal(e0, -0.0107707223, energy_tolerance)
import numpy as np
from ase.lattice import bulk
from gpaw import GPAW
from gpaw.response.df import DielectricFunction
# Part 1: Ground state calculation
atoms = bulk('Si', 'diamond', a=5.431) # Generate diamond crystal structure for silicon
calc = GPAW(mode='pw', kpts=(4,4,4)) # GPAW calculator initialization
atoms.set_calculator(calc)
atoms.get_potential_energy() # Ground state calculation is performed
calc.write('si.gpw', 'all') # Use 'all' option to write wavefunction
# Part 2 : Spectrum calculation # DF: dielectric function object
df = DielectricFunction(calc='si.gpw', # Ground state gpw file (with wavefunction) as input
domega0=0.05) # Using nonlinear frequency grid
df.get_dielectric_function() # By default, a file called 'df.csv' is generated
atoms = sys.argv[5]
atoms = int(atoms)
bulk_mat = bulk('Cu','fcc',a)*(atoms,atoms,atoms)
is_varying = str(sys.argv[6])
if (str(sys.argv[8]) == 'True'):
del bulk_mat[[atom.index for atom in bulk_mat if atom.index == 0]]
#view(bulk_mat)
#time.sleep(3600)
calc = GPAW(mode=PW(e_cut), nbands = nbands,
xc='PBE', kpts=(k_pts,k_pts,k_pts),
occupations=FermiDirac(smear), txt='Cu.out')
bulk_mat.set_calculator(calc)
traj = Trajectory('some_test.traj', 'w', bulk_mat)
relaxer = PreconLBFGS(bulk_mat, variable_cell = True, logfile = 'my_log.txt')
relaxer.attach(traj)
relaxer.run(fmax = 0.025, smax = 0.003)
bulk_mat.get_potential_energy()
calc.write('Cu.gpw')
save_atoms(bulk_mat, e_cut, nbands, k_pts, smear, a, is_varying, str(sys.argv[7]))
## try:
## import Scientific.IO.NetCDF
## endings.append('nc')
## except ImportError:
## pass
for ending in endings:
restart_wf = 'gpaw-restart-wf.' + ending
# H2
H = Atoms([Atom('H', (0, 0, 0)), Atom('H', (0, 0, 1))])
H.center(vacuum=2.0)
if 1:
calc = GPAW(nbands=2,
convergence={
'eigenstates': 0.001,
'energy': 0.1,
'density': 0.1
})
H.set_calculator(calc)
H.get_potential_energy()
calc.write(restart_wf, 'all')
# refine the result directly
calc.set(convergence={'energy': 0.00001})
Edirect = H.get_potential_energy()
# refine the result after reading from a file
H = GPAW(restart_wf, convergence={'energy': 0.00001}).get_atoms()
Erestart = H.get_potential_energy()
print Edirect, Erestart
'Test ase.dft.wannier module with k-points.'
from __future__ import print_function
from ase.build import bulk
from ase.dft.wannier import Wannier
from gpaw import GPAW
from gpaw.mpi import world, serial_comm
si = bulk('Si', 'diamond', a=5.43)
k = 2
if 1:
si.calc = GPAW(kpts=(k, k, k), mode='lcao', txt='Si-ibz.txt')
#si.calc = GPAW(kpts=(k, k, k), mode='lcao')
e1 = si.get_potential_energy()
si.calc.write('Si-ibz', mode='all')
#si.calc.set(symmetry='off', txt='Si-bz.txt')
#si.calc.set(symmetry='off')
#e2 = si.get_potential_energy()
#si.calc.write('Si-bz', mode='all')
#print e1, e2
def wan(calc):
centers = [([0.125, 0.125, 0.125], 0, 1.5), ([0.125, 0.625,
0.125], 0, 1.5),
([0.125, 0.125, 0.625], 0, 1.5), ([0.625, 0.125,
0.125], 0, 1.5)]
w = Wannier(4, calc, nbands=4, verbose=False, initialwannier=centers)
w.localize()
# plot orthogonal to bond axis through H2
ax[1][1].set_title(
r'Plane of $ -\frac{1}{2} \nabla^2 \rho^{1/2} $ orthogonal to bond axis at H2'
)
ax[1][1].set_xlabel(r'cell axis x')
ax[1][1].set_ylabel(r'cell axis y')
ax[1][1].set_xlim(x1z, x2z)
ax[1][1].set_ylim(y1z, y2z)
ax[1][1].contour(func_obj.coordinates[0], func_obj.coordinates[1],
z_plane_kin_o_bond_h2)
ax[1][1].scatter(pos_z[1], pos_z[0], c='red')
# load results from GPAW calculation
calc2 = GPAW('/home/misa/APDFT/prototyping/gpaw/OFDFT/result_64_gpts.gpw')
# cell width in Bohr
cell_vectors = calc2.atoms.cell
a_x = cell_vectors[0][0]
a_y = cell_vectors[1][1]
a_z = cell_vectors[2][2]
###############################################################################
# create func object for sqrt of coarse pseudo density and apply own kinetic energy operator to sqrt(density)
sqrt_pseudo_dens = np.sqrt(
calc2.density.nt_sG[0]) # sqrt of pseudo density on coarse grid
kwargs_pseuod_dens = {
'func_value': sqrt_pseudo_dens,
'length_cell': [a_x, a_y, a_z]
from ase.build import molecule
from ase import io
from gpaw import GPAW
txt = 'out.txt'
if 1:
calculator = GPAW(h=0.3, txt=txt)
atoms = molecule('H2', calculator=calculator)
atoms.center(vacuum=3)
atoms.get_potential_energy()
atoms.set_initial_magnetic_moments([0.5, 0.5])
calculator.set(charge=1)
atoms.get_potential_energy()
# read again
t = io.read(txt, index=':')
assert isinstance(t, list)
M = t[1].get_magnetic_moments()
assert abs(M - 0.2).max() < 0.1
atoms = Atoms(symbols=myGpaw.symstr,
pbc=[ True, True, True],
cell=myGpaw.gcell,
positions=myGpaw.pos
)
# view(atoms)
kpts={'size': (4, 4, 4), 'gamma': True}
calc = GPAW(#h=0.16,
mode=PW(900),
kpts=kpts,
xc='PBE',
txt=myGpaw.symstr+'_900.out',
occupations=FermiDirac(width=0.05),
# nbands=-2,
convergence={'energy': 0.0005, # eV / electron
'density': 1.0e-4,
'eigenstates': 4.0e-8, # eV^2 / electron
'bands': 'CBM+2.0',
'forces': float('inf')} # eV / Ang Max
)
atoms.calc = calc
e2 = atoms.get_potential_energy()
d0 = atoms.get_distance(0, 1)
fd = open('optimization.txt', 'w')
print('experimental bond length:', file=fd)
print('hydrogen molecule energy: %5.2f eV' % e2, file=fd)
print('bondlength : %5.2f Ang' % d0, file=fd)
struct = elem_list[1]
print("struct = ", struct)
nbnd = int(elem_list[2])
print("nbands = ", nbnd)
spath = elem_list[3]
print("path = ", spath)
nkpts = elem_list[4]
print("kpts = ", nkpts)
kpts = ast.literal_eval(nkpts)
# First perform a regular SCF run
calc = GPAW(
mode=PW(400),
maxiter=200,
spinpol=False,
kpts=kpts,
xc=xc,
txt='-',
occupations=FermiDirac(0.02),
mixer=Mixer(0.05, 8, 100),
)
atoms = bulk(element, struct)
# sc,fcc,bcc,tetragonal,bct,hcp,rhmbohedral,orthorhombic
# mlc, diamond,zincblende,rocksalt,cesiumchloride, fluorite, wurtzite
atoms.set_calculator(calc)
atoms.get_potential_energy()
# Get the valence band maximum
efermi = calc.get_fermi_level()
Nk = len(calc.get_ibz_k_points())
Ns = calc.get_number_of_spins()
class GWBands:
"""This class defines the GW_bands properties"""
def __init__(self,
calc=None,
comm=None,
gw_file=None,
kpoints=None,
bandrange=None):
self.calc = GPAW(calc, communicator=comm, txt=None)
if gw_file is not None:
self.gw_file = pickle.load(open(gw_file, 'rb'),encoding='bytes')
self.kpoints = kpoints
if bandrange is None:
self.bandrange = np.arange(self.calc.get_number_of_bands())
else:
self.bandrange = bandrange
self.gd = self.calc.wfs.gd.new_descriptor()
self.kd = self.calc.wfs.kd
self.acell_cv = self.gd.cell_cv
self.bcell_cv = 2 * np.pi * self.gd.icell_cv
self.vol = self.gd.volume
self.BZvol = (2 * np.pi)**3 / self.vol
def find_k_along_path(self, plot_BZ=True):
"""Finds the k-points along the bandpath present in the
original calculation"""
kd = self.kd
acell_cv = self.acell_cv
bcell_cv = self.bcell_cv
kpoints = self.kpoints
if plot_BZ:
"""Plotting the points in the Brillouin Zone"""
kp_1bz = to1bz(kd.bzk_kc, acell_cv)
bzk_kcv = np.dot(kd.bzk_kc, bcell_cv)
kp_1bz_v = np.dot(kp_1bz, bcell_cv)
import matplotlib.pyplot as plt
plt.plot(bzk_kcv[:, 0], bzk_kcv[:, 1], 'xg')
plt.plot(kp_1bz_v[:, 0], kp_1bz_v[:, 1], 'ob')
for ik in range(1, len(kpoints)):
kpoint1_v = np.dot(kpoints[ik], bcell_cv)
kpoint2_v = np.dot(kpoints[ik - 1], bcell_cv)
plt.plot([kpoint1_v[0], kpoint2_v[0]], [kpoint1_v[1],
kpoint2_v[1]], '--vr')
"""Finding the points along given directions"""
print('Finding the kpoints along the path')
N_c = kd.N_c
wpts_xc = kpoints
x_x = []
k_xc = []
k_x = []
x = 0.
X = []
for nwpt in range(1, len(wpts_xc)):
X.append(x)
to_c = wpts_xc[nwpt]
from_c = wpts_xc[nwpt - 1]
vec_c = to_c - from_c
print('From ', from_c, ' to ', to_c)
Nv_c = (vec_c * N_c).round().astype(int)
Nv = abs(gcd(gcd(Nv_c[0], Nv_c[1]), Nv_c[2]))
print(Nv, ' points found')
dv_c = vec_c / Nv
dv_v = np.dot(dv_c, bcell_cv)
dx = np.linalg.norm(dv_v)
if nwpt == len(wpts_xc) - 1:
# X.append(Nv * dx)
Nv += 1
for n in range(Nv):
k_c = from_c + n * dv_c
bzk_c = to1bz(np.array([k_c]), acell_cv)[0]
ikpt = kd.where_is_q(bzk_c, kd.bzk_kc)
x_x.append(x)
k_xc.append(k_c)
k_x.append(ikpt)
x += dx
X.append(x_x[-1])
if plot_BZ is True:
for ik in range(len(k_xc)):
ktemp_xcv = np.dot(k_xc[ik], bcell_cv)
plt.plot(ktemp_xcv[0], ktemp_xcv[1], 'xr', markersize=10)
plt.show()
return x_x, k_xc, k_x, X
def get_dft_eigenvalues(self):
Nk = len(self.calc.get_ibz_k_points())
bands = np.arange(self.bandrange[0], self.bandrange[-1])
e_kn = np.array([self.calc.get_eigenvalues(kpt=k)[bands]
for k in range(Nk)])
return e_kn
def get_vacuum_level(self, plot_pot=False):
"""Finds the vacuum level through Hartree potential"""
vHt_g = self.calc.get_electrostatic_potential()
vHt_z = np.mean(np.mean(vHt_g, axis=0), axis=0)
if plot_pot:
import matplotlib.pyplot as plt
plt.plot(vHt_z)
plt.show()
return vHt_z[0]
def get_spinorbit_corrections(self, return_spin=True, return_wfs=False,
bands=None, gwqeh_file=None, dft=False,
eig_file=None):
"""Gets the spinorbit corrections to the eigenvalues"""
calc = self.calc
bandrange = self.bandrange
if not dft:
try:
e_kn = self.gw_file['qp'][0]
except:
e_kn = self.gw_file[b'qp'][0]
else:
if eig_file is not None:
e_kn = pickle.load(open(eig_file))[0]
else:
e_kn = self.get_dft_eigenvalues()[:,bandrange[0]:bandrange[-1]]
eSO_nk, s_nk, v_knm = get_spinorbit_eigenvalues(
calc,
return_spin=return_spin, return_wfs=return_wfs,
bands=range(bandrange[0], bandrange[-1]+1),
gw_kn=e_kn)
e_kn = eSO_nk.T
return e_kn, v_knm
def get_gw_bands(self, nk_Int=50, interpolate=False, SO=False,
gwqeh_file=None, dft=False, eig_file=None, vac=False):
"""Getting Eigenvalues along the path"""
kd = self.kd
if SO:
e_kn, v_knm = self.get_spinorbit_corrections(return_wfs=True,
dft=dft,
eig_file=eig_file)
if gwqeh_file is not None:
gwqeh_file = pickle.load(open(gwqeh_file))
eqeh_noSO_kn = gwqeh_file['qp_sin'][0] * Ha
eqeh_kn = np.zeros_like(e_kn)
eqeh_kn[:, ::2] = eqeh_noSO_kn
eqeh_kn[:, 1::2] = eqeh_noSO_kn
e_kn += eqeh_kn
elif gwqeh_file is not None:
gwqeh_file = pickle.load(open(gwqeh_file))
e_kn = gwqeh_file['Qp_sin'][0] * Ha
elif eig_file is not None:
e_kn = pickle.load(open(eig_file))[0]
else:
if not dft:
try:
e_kn = self.gw_file['qp'][0]
except:
e_kn = self.gw_file[b'qp'][0]
else:
e_kn = self.get_dft_eigenvalues()
e_kn = np.sort(e_kn, axis=1)
bandrange = self.bandrange
ef = self.calc.get_fermi_level()
if vac:
evac = self.get_vacuum_level()
else:
evac = 0.0
x_x, k_xc, k_x, X = self.find_k_along_path(plot_BZ=False)
k_ibz_x = np.zeros_like(k_x)
eGW_kn = np.zeros((len(k_x), e_kn.shape[1]))
for n in range(e_kn.shape[1]):
for ik in range(len(k_x)):
ibzkpt = kd.bz2ibz_k[k_x[ik]]
k_ibz_x[ik] = ibzkpt
eGW_kn[ik, n] = e_kn[ibzkpt, n]
N_occ = (eGW_kn[0] < ef).sum()
print(N_occ, bandrange[0])
# N_occ = int(self.calc.get_number_of_electrons()/2)
print(' ')
if SO:
print('The number of Occupied bands is:', N_occ + 2.*bandrange[0])
else:
print('The number of Occupied bands is:', N_occ + bandrange[0])
gap = (eGW_kn[:, N_occ].min() - eGW_kn[:, N_occ - 1].max())
print('The bandgap is: %f' % gap)
vbm = eGW_kn[:, N_occ - 1].max() - evac
cbm = eGW_kn[:, N_occ].min() - evac
if interpolate:
xfit_k = np.linspace(x_x[0], x_x[-1], nk_Int)
xfit_k = np.append(xfit_k, x_x)
xfit_k = np.sort(xfit_k)
nk_Int = len(xfit_k)
efit_kn = np.zeros((nk_Int, eGW_kn.shape[1]))
for n in range(eGW_kn.shape[1]):
fit_e = InterpolatedUnivariateSpline(x_x, eGW_kn[:, n])
efit_kn[:, n] = fit_e(xfit_k)
results = {'x_k': xfit_k,
'X': X,
'e_kn': efit_kn - evac,
'ef': ef - evac,
'gap': gap,
'vbm': vbm,
'cbm': cbm}
return results
else:
results = {'x_k': x_x,
'X': X,
'k_ibz_x': k_ibz_x,
'e_kn': eGW_kn - evac,
'ef': ef - evac,
'gap': gap,
'vbm': vbm,
'cbm': cbm}
return results
import numpy as np
from ase import Atoms
from ase.units import Bohr
from gpaw.jellium import JelliumSlab
from gpaw import GPAW, PW
rs = 5.0 * Bohr # Wigner-Seitz radius
h = 0.2 # grid-spacing
a = 8 * h # lattice constant
v = 3 * a # vacuum
L = 10 * a # thickness
k = 12 # number of k-points (k*k*1)
ne = a**2 * L / (4 * np.pi / 3 * rs**3)
jellium = JelliumSlab(ne, z1=v, z2=v + L)
surf = Atoms(pbc=(True, True, False), cell=(a, a, v + L + v))
surf.calc = GPAW(mode=PW(400.0),
background_charge=jellium,
xc='LDA_X+LDA_C_WIGNER',
eigensolver='dav',
kpts=[k, k, 1],
h=h,
convergence={'density': 0.001},
nbands=int(ne / 2) + 15,
txt='surface.txt')
e = surf.get_potential_energy()
surf.calc.write('surface.gpw')
atoms.center()
atoms.set_pbc(1)
r = [1, 1, 1]
atoms = atoms.repeat(r)
n = [240 * ri for ri in r]
# nbands (>=1683) is the number of bands per cluster
nbands = 3 * 6 * 6 * 16 # 1728
for ri in r:
nbands = nbands * ri
mixer = Mixer(beta=0.1, nmaxold=5, weight=100.0)
# the next three lines decrease memory usage
es = RMMDIIS(keep_htpsit=False)
calc = GPAW(
nbands=nbands,
# uncomment next two lines to use lcao/sz
# mode='lcao',
# basis='sz',
gpts=tuple(n),
maxiter=5,
width=0.1,
xc='LDA',
mixer=mixer,
eigensolver=es,
txt=prefix + '.txt')
atoms.set_calculator(calc)
try:
pot = atoms.get_potential_energy()
except ConvergenceError:
pass
from gpaw.poisson import PoissonSolver
from gpaw.lcaotddft.dipolemomentwriter import DipoleMomentWriter
from gpaw.lcaotddft.wfwriter import WaveFunctionWriter
from gpaw.tddft.spectrum import photoabsorption_spectrum
from gpaw.mpi import world
from gpaw.test import equal
# Atoms
atoms = molecule('Na2')
atoms.center(vacuum=4.0)
# Ground-state calculation
calc = GPAW(nbands=2, h=0.4, setups=dict(Na='1'),
basis='dzp', mode='lcao',
poissonsolver=PoissonSolver(eps=1e-16),
convergence={'density': 1e-8},
txt='gs.out')
atoms.set_calculator(calc)
energy = atoms.get_potential_energy()
calc.write('gs.gpw', mode='all')
# Time-propagation calculation
td_calc = LCAOTDDFT('gs.gpw', txt='td.out')
DipoleMomentWriter(td_calc, 'dm.dat')
WaveFunctionWriter(td_calc, 'wf.ulm')
WaveFunctionWriter(td_calc, 'wf_split.ulm', split=True)
td_calc.absorption_kick(np.ones(3) * 1e-5)
td_calc.propagate(20, 3)
td_calc.write('td.gpw', mode='all')
td_calc.propagate(7, 3)
a = 5.404
bulk = Atoms(symbols='Si8',
scaled_positions=[(0, 0, 0),
(0, 0.5, 0.5),
(0.5, 0, 0.5),
(0.5, 0.5, 0),
(0.25, 0.25, 0.25),
(0.25, 0.75, 0.75),
(0.75, 0.25, 0.75),
(0.75, 0.75, 0.25)],
pbc=True, cell=(a, a, a))
n = 20
calc = GPAW(gpts=(n, n, n),
nbands=8 * 3,
occupations=FermiDirac(width=0.01),
verbose=1,
kpts=(1, 1, 1))
bulk.set_calculator(calc)
e1 = bulk.get_potential_energy()
niter1 = calc.get_number_of_iterations()
eigs = calc.get_eigenvalues(kpt=0)
calc.write('temp.gpw')
bulk, calc = restart('temp.gpw', fixdensity=True)
e2 = bulk.get_potential_energy()
eigs2 = calc.get_eigenvalues(kpt=0)
print('Orginal', eigs)
print('Fixdensity', eigs2)
print('Difference', eigs2 - eigs)
density_number = int(sys.argv[3])
#density_number = 5.4, 1.37
k_pts = {'density': density_number, 'even': True}
smear = 0.1
system_id = int((sys.argv[1]))
system_name = 'fesi_id' + str(system_id)
final_db = str(sys.argv[2])
print(time.strftime("%d/%m/%Y"))
print(time.strftime("%H:%M:%S"))
print('The id for this script is: ' + str(system_id))
calc = GPAW(mode=PW(e_cut),
nbands=nbands,
xc='PBE',
spinpol=True,
kpts=k_pts,
occupations=FermiDirac(smear),
txt=system_name + '.out')
if os.path.isfile('./' + system_name + '.gpw'):
#Recover past done calculations if available
#bulk_mat, calc = restart(system_name + '.gpw', txt = None)
#bulk_mat.set_calculator(calc)
traj = Trajectory(system_name + '.traj')
bulk_mat = traj[-1]
bulk_mat.set_calculator(calc)
else:
#Initialize new calculations
db = connect(final_db)
d = 1.2
logo = Atoms()
for i, line in enumerate(ase.split('\n')):
for j, c in enumerate(line):
if c == 'H':
logo.append(Atom('H', [d * j, d * i, 0]))
logo.set_cell((15, 15, 2))
logo.center()
#logo.center(vacuum=2.0)
#view(logo)
if 1:
from gpaw import GPAW
calc = GPAW()
logo.set_calculator(calc)
e = logo.get_potential_energy()
calc.write('logo2.gpw')
if 0:
from gpaw import GPAW
calc = GPAW('logo2.gpw', idiotproof=0)
if 1:
print(calc.density.nt_sg.shape)
n = calc.density.nt_sg[0, :, :, 10]
#1c4e63
c0 = np.array([19, 63, 82.0]).reshape((3, 1, 1)) / 255
c1 = np.array([1.0, 1, 0]).reshape((3, 1, 1))
a = c0 + n / n.max() * (c1 - c0)
from gpaw import GPAW, restart
from gpaw.test import gen
from gpaw import setup_paths
from gpaw.mpi import world
xc = 'GLLBSC'
gen('C', xcname=xc)
setup_paths.insert(0, '.')
# Calculate ground state
atoms = bulk('C', 'diamond', a=3.567)
# We want sufficiently many grid points that the calculator
# can use wfs.world for the finegd, to test that part of the code.
calc = GPAW(h=0.2,
kpts=(4, 4, 4),
xc=xc,
nbands=8,
parallel=dict(domain=min(world.size, 2), band=1),
eigensolver=Davidson(niter=4))
atoms.set_calculator(calc)
atoms.get_potential_energy()
calc.write('Cgs.gpw')
# Calculate accurate KS-band gap from band structure
calc = GPAW('Cgs.gpw',
kpts={
'path': 'GX',
'npoints': 12
},
fixdensity=True,
symmetry='off',
nbands=8,
from gpaw import GPAW, Mixer, FermiDirac
tag = 'Ru001'
adsorbate_heights = {'H': 1.0, 'N': 1.108, 'O': 1.257}
slab = hcp0001('Ru', size=(2, 2, 4), a=2.72, c=1.58*2.72, vacuum=7.0,
orthogonal=True)
slab.center(axis=2)
if len(argv) > 1:
adsorbate = argv[1]
tag = adsorbate + tag
add_adsorbate(slab, adsorbate, adsorbate_heights[adsorbate], 'hcp')
slab.set_constraint(FixAtoms(mask=slab.get_tags() >= 3))
calc = GPAW(xc='PBE',
h=0.2,
mixer=Mixer(0.1, 5, weight=100.0),
stencils=(3, 3),
occupations=FermiDirac(width=0.1),
kpts=[4, 4, 1],
eigensolver='cg',
txt=tag + '.txt')
slab.set_calculator(calc)
opt = LBFGS(slab, logfile=tag + '.log', trajectory=tag + '.traj')
opt.run(fmax=0.05)
calc.write(tag)
from __future__ import print_function
from ase import Atoms
from gpaw import GPAW
from gpaw.test import equal
s = Atoms('Cl')
s.center(vacuum=3)
c = GPAW(xc={'name': 'PBE', 'stencil': 1}, nbands=-4, charge=-1, h=0.3)
s.set_calculator(c)
e = s.get_potential_energy()
niter = c.get_number_of_iterations()
print(e, niter)
energy_tolerance = 0.0003
niter_tolerance = 0
equal(e, -2.89336, energy_tolerance)
from ase.build import molecule
#s = UPFSetupData('/home/askhl/parse-upf/h_lda_v1.uspp.F.UPF')
upfsetups = {
'H': UPFSetupData('H.pz-hgh.UPF'),
'O': UPFSetupData('O.pz-hgh.UPF')
}
system = molecule('H2O')
system.center(vacuum=3.5)
calc = GPAW(
txt='-',
nbands=6,
setups=upfsetups,
#setups='paw',
#hund=True,
#mixer=MixerSum(0.1, 5, 20.0),
#eigensolver='cg',
#occupations=FermiDirac(0.1),
#charge=1-1e-12,
#eigensolver='rmm-diis',
gpts=h2gpts(0.12, system.get_cell(), idiv=8),
poissonsolver=PoissonSolver(relax='GS', eps=1e-7),
xc='oldLDA',
#nbands=4
)
system.set_calculator(calc)
system.get_potential_energy()
from gpaw import GPAW
calc = GPAW('groundstate.rutile.gpw')
atoms = calc.get_atoms()
path = atoms.cell.bandpath(density=7)
path.write('path.rutile.json')
calc.set(kpts=path, fixdensity=True, symmetry='off')
atoms.get_potential_energy()
bs = calc.band_structure()
bs.write('bs.rutile.json')
# Initial state:
# 2x2-Al(001) surface with 1 layer and an
# Au atom adsorbed in a hollow site:
slab = fcc100('Al', size=(2, 2, 2))
slab.center(axis=2, vacuum=3.0)
add_adsorbate(slab, 'Au', 1.6, 'hollow')
# Make sure the structure is correct:
view(slab)
# Fix the Al atoms:
mask = [atom.symbol == 'Al' for atom in slab]
print(mask)
fixlayer = FixAtoms(mask=mask)
slab.set_constraint(fixlayer)
# Use GPAW:
calc = GPAW(mode=PW(200), kpts=(2, 2, 1), xc='PBE', txt='hollow.txt')
slab.set_calculator(calc)
qn = QuasiNewton(slab, trajectory='hollow.traj')
# Find optimal height. The stopping criterion is: the force on the
# Au atom should be less than 0.05 eV/Ang
qn.run(fmax=0.05)
calc.write('hollow.gpw') # Write gpw output after the minimization
print('energy:', slab.get_potential_energy())
print('height:', slab.positions[-1, 2] - slab.positions[0, 2])
from ase.build import molecule
from gpaw import GPAW, PW
from gpaw.mpi import world
a = molecule('H', pbc=1)
a.center(vacuum=2)
comm = world.new_communicator([world.rank])
e0 = 0.0
a.calc = GPAW(mode=PW(250), communicator=comm, txt=None)
e0 = a.get_potential_energy()
e0 = world.sum(e0) / world.size
a.calc = GPAW(mode=PW(250),
eigensolver='rmm-diis',
basis='szp(dzp)',
txt='%d.txt' % world.size)
e = a.get_potential_energy()
f = a.get_forces()
assert abs(e - e0) < 7e-5, abs(e - e0)
assert abs(f).max() < 1e-10, abs(f).max()
from __future__ import print_function
import numpy as np
from ase import Atoms
from gpaw import GPAW
from gpaw.test import equal
bulk = Atoms("Li", pbc=True)
k = 4
g = 8
calc = GPAW(gpts=(g, g, g), kpts=(k, k, k), mode="lcao", basis="dzp")
bulk.set_calculator(calc)
e = []
niter = []
A = [2.6, 2.65, 2.7, 2.75, 2.8]
for a in A:
bulk.set_cell((a, a, a))
e.append(bulk.get_potential_energy())
niter.append(calc.get_number_of_iterations())
a = np.roots(np.polyder(np.polyfit(A, e, 2), 1))[0]
print("a =", a)
equal(a, 2.63781, 0.0001)
e_ref = [-1.8677343236247692, -1.8690343169380492, -1.8654175796625045, -1.8566274574918875, -1.8432374955346396]
niter_ref = [6, 6, 6, 6, 6]
print(e)
energy_tolerance = 0.00003
niter_tolerance = 0
for i in range(len(A)):
from __future__ import print_function
import numpy as np
import ase.units as units
from gpaw import restart, GPAW
from gpaw.poisson import PoissonSolver
from gpaw.dipole_correction import DipoleCorrection
energies = []
for name in ['zero', 'periodic', 'corrected']:
if name == 'corrected':
calc = GPAW(name,
txt=None,
poissonsolver=DipoleCorrection(PoissonSolver(), 2))
else:
calc = GPAW(name, txt=None)
energies.append(calc.get_potential_energy())
print(energies)
assert abs(energies[1] - energies[0]) < 0.003
assert abs(energies[2] - energies[0] - 0.0409) < 0.003
efermi = calc.get_fermi_level()
calc.restore_state()
v = (calc.hamiltonian.vHt_g * units.Hartree).mean(0).mean(0)
w1 = v[0] - efermi
w2 = v[-1] - efermi
print(w1, w2)
assert abs(w1 - 4.359) < 0.01
assert abs(w2 - 2.556) < 0.01
from __future__ import print_function
from ase import Atoms
from gpaw import GPAW, restart
from gpaw.test import equal
from gpaw.utilities.kspot import AllElectronPotential
if 1:
be = Atoms(symbols='Be',positions=[(0,0,0)])
be.center(vacuum=5)
calc = GPAW(gpts=(64,64,64), xc='LDA', nbands=1) #0.1 required for accuracy
be.set_calculator(calc)
e = be.get_potential_energy()
niter = calc.get_number_of_iterations()
#calc.write("be.gpw")
energy_tolerance = 0.00001
niter_tolerance = 0
equal(e, 0.00246471, energy_tolerance)
#be, calc = restart("be.gpw")
AllElectronPotential(calc).write_spherical_ks_potentials('bepot.txt')
f = open('bepot.txt')
lines = f.readlines()
f.close()
mmax = 0
for l in lines:
mmax = max(abs(eval(l.split(' ')[3])), mmax)
print("Max error: ", mmax)
assert mmax<0.009
from gpaw import GPAW, restart, FD
from ase.build import molecule
from gpaw.test import equal
Eini0 = -17.8037610364
energy_eps = 0.0005
esolvers = ['cg', 'rmm-diis', 'dav']
calc = GPAW(xc='LDA',
h=0.21,
eigensolver='cg',
convergence={'eigenstates': 3.5e-5, 'energy': energy_eps},
mode=FD(force_complex_dtype=True))
mol = molecule('N2')
mol.center(vacuum=3.0)
mol.set_calculator(calc)
Eini = mol.get_potential_energy()
Iini = calc.get_number_of_iterations()
print('%10s: %12.6f eV in %3d iterations' % ('init(cg)', Eini, Iini))
equal(Eini, Eini0, energy_eps * calc.get_number_of_electrons())
calc.write('N2_complex.gpw', mode='all')
for esolver in esolvers:
mol, calc = restart('N2_complex.gpw')
assert calc.wfs.dtype == complex
assert calc.wfs.kpt_u[0].psit_nG.dtype == complex
calc.set(convergence={'eigenstates': 3.5e-9, 'energy': energy_eps})