Band structure of bulk graphene: Difference between revisions
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| Line 4: | Line 4: | ||
<pre> | <pre> | ||
from gpaw import GPAW, FermiDirac | |||
from ase import Atoms | |||
from ase.io import read, write | |||
from gpaw import GPAW, PoissonSolver, Mixer | |||
from ase.structure import bulk | |||
# ------------------------------------------------------------- | |||
# Bulk configuration | |||
# ------------------------------------------------------------- | |||
gnr = bulk('C', 'hcp', a=2.4612, c=6.709) # hexagonal close-packed (hpc) | |||
gnr.positions=([[ 0. , 0., 0.], [ 1.23060, 0.7104873, 0. ]]) | |||
write('gr.traj', gnr) | |||
# Make self-consistent calculation and save results | |||
calc = GPAW(h=0.18, | |||
mode='fd', #finite difference(fd) | |||
xc='PBE', | |||
kpts=(5,5,1), | |||
occupations=FermiDirac(width=0.05, maxiter=2000), | |||
mixer=Mixer(beta=0.010, nmaxold=8, weight=100.0), | |||
poissonsolver=PoissonSolver(eps=1e-12), | |||
txt='band_sc.txt') | |||
gnr.set_calculator(calc) | |||
gnr.get_potential_energy() | |||
calc.write('band_sc.gpw') | |||
from ase.dft.kpoints import ibz_points, get_bandpath | |||
points = ibz_points['hexagonal'] | |||
G = points['Gamma'] | |||
K = points['K'] | |||
M = points['M'] | |||
kpts, x, X = get_bandpath([K, G, M, K], gnr.cell, 60) | |||
calc = GPAW('band_sc.gpw', | |||
mode='fd', | |||
kpts=kpts, | |||
txt='band_harris.txt', | |||
fixdensity=True, | |||
parallel={'domain': 1}, | |||
eigensolver='cg', # 'cg' is allowed for grid method only | |||
usesymm=None, | |||
convergence={'bands': 'all'}) | |||
if calc.input_parameters['mode'] == 'lcao': | |||
calc.scf.reset() | |||
calc.get_potential_energy() | |||
ef = calc.get_fermi_level() | |||
calc.write('band_harris.gpw') | |||
# Extract eigenenergies into a file for plotting with some external package | |||
import numpy as np | |||
calc = GPAW('band_harris', txt=None) | |||
eps_skn = np.array([[calc.get_eigenvalues(k,s) | |||
for k in range(40)] | |||
for s in range(1)]) - ef | |||
f = open('bands.dat', 'w') | |||
for n in range(8): | |||
for k in range(40): | |||
print >>f, k, eps_skn[0, k, n] | |||
print >>f | |||
</pre> | </pre> | ||
| Line 26: | Line 96: | ||
gnr.positions=([[ 0. , 0., 0.], [ 1.23060, 0.7104873, 0. ]]) | gnr.positions=([[ 0. , 0., 0.], [ 1.23060, 0.7104873, 0. ]]) | ||
write('gnr.traj', gnr) | write('gnr.traj', gnr) | ||
| Line 66: | Line 135: | ||
calc.get_potential_energy() | calc.get_potential_energy() | ||
ef = calc.get_fermi_level() | |||
calc.write('band_harris.gpw') | calc.write('band_harris.gpw') | ||
# Extract eigenenergies into a file for plotting with some external package | |||
import numpy as np | |||
calc = GPAW('band_harris', txt=None) | calc = GPAW('band_harris', txt=None) | ||
eps_skn = np.array([[calc.get_eigenvalues(k,s) | eps_skn = np.array([[calc.get_eigenvalues(k,s) | ||
for k in range(40)] | for k in range(40)] | ||
for s in range(1)]) | for s in range(1)]) - ef | ||
f = open('bands.dat', 'w') | |||
for n in range(8): | for n in range(8): | ||
for k in range(40): | for k in range(40): | ||
print k, eps_skn[0, k, n] | print >>f, k, eps_skn[0, k, n] | ||
print | print >>f | ||
</pre> | </pre> | ||
Latest revision as of 14:41, 17 November 2014
Graphene using grid
- graphene_grid.py:
from gpaw import GPAW, FermiDirac
from ase import Atoms
from ase.io import read, write
from gpaw import GPAW, PoissonSolver, Mixer
from ase.structure import bulk
# -------------------------------------------------------------
# Bulk configuration
# -------------------------------------------------------------
gnr = bulk('C', 'hcp', a=2.4612, c=6.709) # hexagonal close-packed (hpc)
gnr.positions=([[ 0. , 0., 0.], [ 1.23060, 0.7104873, 0. ]])
write('gr.traj', gnr)
# Make self-consistent calculation and save results
calc = GPAW(h=0.18,
mode='fd', #finite difference(fd)
xc='PBE',
kpts=(5,5,1),
occupations=FermiDirac(width=0.05, maxiter=2000),
mixer=Mixer(beta=0.010, nmaxold=8, weight=100.0),
poissonsolver=PoissonSolver(eps=1e-12),
txt='band_sc.txt')
gnr.set_calculator(calc)
gnr.get_potential_energy()
calc.write('band_sc.gpw')
from ase.dft.kpoints import ibz_points, get_bandpath
points = ibz_points['hexagonal']
G = points['Gamma']
K = points['K']
M = points['M']
kpts, x, X = get_bandpath([K, G, M, K], gnr.cell, 60)
calc = GPAW('band_sc.gpw',
mode='fd',
kpts=kpts,
txt='band_harris.txt',
fixdensity=True,
parallel={'domain': 1},
eigensolver='cg', # 'cg' is allowed for grid method only
usesymm=None,
convergence={'bands': 'all'})
if calc.input_parameters['mode'] == 'lcao':
calc.scf.reset()
calc.get_potential_energy()
ef = calc.get_fermi_level()
calc.write('band_harris.gpw')
# Extract eigenenergies into a file for plotting with some external package
import numpy as np
calc = GPAW('band_harris', txt=None)
eps_skn = np.array([[calc.get_eigenvalues(k,s)
for k in range(40)]
for s in range(1)]) - ef
f = open('bands.dat', 'w')
for n in range(8):
for k in range(40):
print >>f, k, eps_skn[0, k, n]
print >>f
Graphene using LCAO
- graphene_lcao.py:
from gpaw import GPAW, FermiDirac
from ase import Atoms
from ase.io import read, write
from gpaw import GPAW, PoissonSolver, Mixer
from ase.structure import bulk
# -------------------------------------------------------------
# Bulk configuration
# -------------------------------------------------------------
gnr = bulk('C', 'hcp', a=2.4612, c=6.709)
gnr.positions=([[ 0. , 0., 0.], [ 1.23060, 0.7104873, 0. ]])
write('gnr.traj', gnr)
# Make self-consistent calculation and save results
calc = GPAW(h=0.18,
mode='lcao',
xc='PBE',
basis='szp(dzp)',
kpts=(5,5,1),
occupations=FermiDirac(width=0.05, maxiter=2000),
mixer=Mixer(beta=0.010, nmaxold=8, weight=100.0),
poissonsolver=PoissonSolver(eps=1e-12),
txt='band_sc.txt')
gnr.set_calculator(calc)
gnr.get_potential_energy()
calc.write('band_sc.gpw')
from ase.dft.kpoints import ibz_points, get_bandpath
points = ibz_points['hexagonal']
G = points['Gamma']
K = points['K']
M = points['M']
kpts, x, X = get_bandpath([K, G, M, K], gnr.cell, 40)
calc = GPAW('band_sc.gpw',
mode='lcao',
xc='PBE',
basis='szp(dzp)',
kpts=kpts,
txt='band_harris.txt',
fixdensity=True,
parallel={'domain': 1},
usesymm=None,
convergence={'bands': 'all'})
if calc.input_parameters['mode'] == 'lcao':
calc.scf.reset()
calc.get_potential_energy()
ef = calc.get_fermi_level()
calc.write('band_harris.gpw')
# Extract eigenenergies into a file for plotting with some external package
import numpy as np
calc = GPAW('band_harris', txt=None)
eps_skn = np.array([[calc.get_eigenvalues(k,s)
for k in range(40)]
for s in range(1)]) - ef
f = open('bands.dat', 'w')
for n in range(8):
for k in range(40):
print >>f, k, eps_skn[0, k, n]
print >>f