from solcore import material
from solcore import si
from solcore.material_system import create_new_material
from solcore.absorption_calculator import create_nk_txt, download_db, search_db
import matplotlib.pyplot as plt
import numpy as np
create_new_material('SiGeSn', '../data/SiGeSn_n.txt', '../data/SiGeSn_k.txt', '../data/SiGeSn_params.txt')
can now create an instance of it like any Solcore material
SiGeSn = material('SiGeSn')()
plt.figure()
plt.plot(si(np.arange(300, 1700, 5), 'nm')*1e9, SiGeSn.n(si(np.arange(300, 1700, 5), 'nm')))
plt.plot(si(np.arange(300, 1700, 5), 'nm')*1e9, SiGeSn.k(si(np.arange(300, 1700, 5), 'nm')))
plt.xlabel('Wavelength (nm)')
plt.ylabel('SiGeSn n / k')
plt.show()
download_db()
search what options are available for diamond, then use the first result's pageid to
create data files for the n & k of diamond:
results = search_db('Diamond')
create_nk_txt(pageid=results[0][0], file='C_Diamond')
create_new_material(mat_name = 'Diamond', n_source='C_Diamond_n.txt', k_source='C_Diamond_k.txt')
Diamond = material('Diamond')()
plt.figure()
plt.plot(si(np.arange(100, 800, 5), 'nm')*1e9, Diamond.n(si(np.arange(100, 800, 5), 'nm')))
plt.plot(si(np.arange(100, 800, 5), 'nm')*1e9, Diamond.k(si(np.arange(100, 800, 5), 'nm')))
plt.xlabel('Wavelength (nm)')
plt.ylabel('Diamond n / k')
plt.show()