Source code for jarvis.analysis.elastic.tensor

"""Module for processing elastic tensor."""
import numpy as np
from collections import OrderedDict


[docs]class ElasticTensor(object): """Module for processing elastic tensor.""" def __init__(self, et_tensor=[]): """Initialize class.""" self.et_tensor = et_tensor @property def voigt_modulus(self): """Get Voigt modulus.""" c = self.et_tensor Kv = float( (c[0][0] + c[1][1] + c[2][2]) + 2 * (c[0][1] + c[1][2] + c[2][0]) ) / float(9) Gv = float( (c[0][0] + c[1][1] + c[2][2]) - (c[0][1] + c[1][2] + c[2][0]) + 3 * (c[3][3] + c[4][4] + c[5][5]) ) / float(15) return [Kv, Gv] @property def compliance_tensor(self): """Get compliance.""" return np.linalg.inv(self.et_tensor) @property def reuss_modulus(self): """Get Reuss modulus.""" c = self.compliance_tensor Kr = 1 / float( (c[0][0] + c[1][1] + c[2][2]) + 2 * (c[0][1] + c[1][2] + c[2][0]) ) Gr = 15 / ( 4 * (c[0][0] + c[1][1] + c[2][2]) - 4 * (c[0][1] + c[1][2] + c[2][0]) + 3 * (c[3][3] + c[4][4] + c[5][5]) ) return [Kr, Gr] @property def average_modulus(self): """Get average modulus.""" return ( np.array(self.voigt_modulus) + np.array(self.reuss_modulus) ) / 2 @property def poisson_ratio(self): """Get poisson's ratio.""" k, g = self.average_modulus return (3 * k - 2 * g) / (6 * k + 2 * g) @property def universal_ansiotropy_ratio(self): """Get universal ansiotropy ratio.""" Kv, Gv = self.voigt_modulus Kr, Gr = self.reuss_modulus return 5 * (Gv / Gr) + (Kv / Kr) - 6 @property def youngs_modulus(self): """Get Youngs modulus.""" k, g = self.average_modulus return 9e9 * k * g / (3 * k + g)
[docs] def to_dict(self): """Get dictionary representation.""" d = OrderedDict() d["voigt_bulk_modulus"] = self.voigt_modulus[0] d["voigt_shear_modulus"] = self.voigt_modulus[1] d["reuss_bulk_modulus"] = self.reuss_modulus[0] d["reuss_shear_modulus"] = self.reuss_modulus[1] d["poisson_ratio"] = self.poisson_ratio d["youngs_modulus"] = self.youngs_modulus d["universal_ansiotropy_ratio"] = self.universal_ansiotropy_ratio d["raw_et_tensor"] = self.et_tensor return d
""" from jarvis.io.vasp.outputs import Vasprun,Outcar o=Outcar('../../examples/vasp/SiOptb88/SiOptb88/MAIN-ELASTIC-bulk@mp_149/OUTCAR') print (o.elastic_props()) p=Atoms.from_poscar('../../examples/vasp/SiOptb88/SiOptb88/MAIN-ELASTIC-bulk@mp_149/POSCAR') et=ElasticTensor(o.elastic_props()['cij']) #print (et.voigt_modulus) #[87.26666666666667, 63.28] #print (et.reuss_modulus) #[87.26666666666665, 60.24546397096941] #print (et.average_modulus) #[87.26666667 61.76273199] #print (et.poisson_ratio) #0.21367500388646996 #print (et.universal_ansiotropy_ratio) #0.21367500388646996 #print ('j_vel',(1e9*(et.average_modulus[0])/p.density)**.5) #print ('j_vel',(1e9* (et.average_modulus[0]+4/3*et.average_modulus[1])/p.density)**.5) k,g=et.average_modulus mass_density=p.density #print ((1e9 * (k + 4. / 3. * g) / mass_density/1.6605e3 ) ** 0.5) print (et.to_dict()) from pymatgen.analysis.elasticity.elastic import ElasticTensor et=ElasticTensor.from_voigt(o.elastic_props()['cij']) from pymatgen.core.structure import Structure pmg=Structure.from_file('../../examples/vasp/ SiOptb88/SiOptb88/MAIN-ELASTIC-bulk@mp_149/POSCAR') #print (et.k_vrh,et.g_vrh) #print (et.long_v(pmg)) #print ('density_j,density_p',p.density,pmg.density) """