AgGaS2-AgInS2
Glasses, oxides and dielectrics anisotropic
2 datasets, together covering 0.565–10.6 µm. Default: Kato et al. 2021: n(o) 0.565–10.6 µm.
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Datasets
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# AgGaS2-AgInS2: Kato et al. 2021: n(o) 0.565–10.6 µm
aggas2_agins2 = ls.fetch_refractiveindex("other", "AgGaS2-AgInS2", "Kato-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(aggas2_agins2.range_nm) # (565, 10600) nm
eps = aggas2_agins2.eps([633]) # complex permittivity
Downloads the original record once (pinned to the imported snapshot) and caches it.
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_c46096130c19/lightsmith"
aggas2_agins2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(aggas2_agins2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (aggas2-agins2/kato-2021-o).
# ... load aggas2_agins2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=aggas2_agins2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=565, stop_nm=1000, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelength
Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.
About AgGaS2-AgInS2
API: /v1/materials/mat_a4077b43a264 · slug aggas2-agins2