Band structure of bulk graphene: Difference between revisions
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| Line 9: | Line 9: | ||
==Graphene using LCAO== | ==Graphene using LCAO== | ||
* | *graphene_lcao.py: | ||
<pre> | <pre> | ||
| Line 67: | Line 67: | ||
calc.get_potential_energy() | calc.get_potential_energy() | ||
calc.write('band_harris.gpw') | calc.write('band_harris.gpw') | ||
</pre> | |||
*find_band_as_dat.py | |||
<pre> | |||
from ase.lattice import bulk | |||
from gpaw import GPAW | |||
calc = GPAW('band_harris', txt=None) | |||
import numpy as np | |||
eps_skn = np.array([[calc.get_eigenvalues(k,s) | |||
for k in range(40)] | |||
for s in range(1)]) + 0.53129 | |||
for n in range(8): | |||
for k in range(40): | |||
print k, eps_skn[0, k, n] | |||
print | |||
</pre> | </pre> | ||
Revision as of 10:34, 26 October 2012
Graphene using grid
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. ]])
#gnr.center()
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()
calc.write('band_harris.gpw')
- find_band_as_dat.py
from ase.lattice import bulk
from gpaw import GPAW
calc = GPAW('band_harris', txt=None)
import numpy as np
eps_skn = np.array([[calc.get_eigenvalues(k,s)
for k in range(40)]
for s in range(1)]) + 0.53129
for n in range(8):
for k in range(40):
print k, eps_skn[0, k, n]
print