This notebook shows how to use the output from VASP DFPT calculation and the phonopy interface to plot the phonon bandstructure and density of states.
Requires: phonopy package (pip install phonopy
)
Author: Kiran Mathew
In [1]:
import os
import numpy as np
import pymatgen as pmg
from pymatgen.io.vasp.outputs import Vasprun
from phonopy import Phonopy
from phonopy.structure.atoms import Atoms as PhonopyAtoms
%matplotlib inline
Set the structure
In [2]:
Si_primitive = PhonopyAtoms(symbols=['Si'] * 2,
scaled_positions=[(0, 0, 0), (0.75, 0.5, 0.75)],
cell=[[3.867422 ,0.000000, 0.000000],
[1.933711, 3.349287, 0.000000],
[-0.000000, -2.232856, 3.157737]])
# supercell size
scell = [[2,0,0],[0,2,0],[0,0,2]]
Result from VASP DFPT calculations using the supercell structure
In [3]:
vrun = Vasprun(os.path.join(os.path.dirname(pmg.__file__), "..", 'test_files', "vasprun.xml.dfpt.phonon"))
Initialize phonopy and set the force constants obtained from VASP
In [4]:
phonon = Phonopy(Si_primitive, scell)
# negative sign to ensure consistency with phonopy convention
phonon.set_force_constants(-vrun.force_constants)
Define the paths for plotting the bandstructure and set them in phonopy
In [5]:
bands = []
# path 1
q_start = np.array([0.5, 0.5, 0.0])
q_end = np.array([0.0, 0.0, 0.0])
band = []
for i in range(51):
band.append(q_start + (q_end - q_start) / 50 * i)
bands.append(band)
# path 2
q_start = np.array([0.0, 0.0, 0.0])
q_end = np.array([0.5, 0.0, 0.0])
band = []
for i in range(51):
band.append(q_start + (q_end - q_start) / 50 * i)
bands.append(band)
phonon.set_band_structure(bands)
Out[5]:
In [6]:
phonon.plot_band_structure().show()
Set the mesh in reciprocal space and plot DOS
In [7]:
mesh = [31, 31, 31]
phonon.set_mesh(mesh)
phonon.set_total_DOS()
phonon.plot_total_DOS().show()
In [ ]: