In [ ]:
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


When adding custom materials - or getting the refractive index database - the
information will be stored in the Solcore's users folder. These can be setup by setting
the SOLCORE_USER_DATA environmental variable to your prefered location or, by default,
it will be in your home directory, in a directory called .solcore.


EXAMPLE 1
need to have n and k data, and a parameter file in the correct format -
see examples of parameter files in e.g. material_data/Adachi/binaries.txt
create a new material, silicon-germanium-tin, from input files. Here,
the parameters in SiGeSn_params.txt have been copied directly from Ge.

In [ ]:
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

In [ ]:
SiGeSn = material('SiGeSn')()
In [ ]:
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')))
In [ ]:
plt.xlabel('Wavelength (nm)')
plt.ylabel('SiGeSn n / k')
In [ ]:
plt.show()


EXAMPLE 2
Can also create a Solcore material from a material in the refractiveindex.info database:
if necessary, download database:

In [ ]:
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:

In [ ]:
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')
In [ ]:
Diamond = material('Diamond')()
In [ ]:
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')))
In [ ]:
plt.xlabel('Wavelength (nm)')
plt.ylabel('Diamond n / k')
In [ ]:
plt.show()