Illite
1 dataset, together covering 2.5–200 µm. Default: Querry 1987: n,k 2.5–200 µm.
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Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Illite: Querry 1987: n,k 2.5–200 µm
illite = ls.fetch_refractiveindex("other", "illite", "Querry", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(illite.range_nm) # (2500, 200000) nm
eps = illite.eps([22400]) # complex permittivityDownloads 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_590529f853ea/lightsmith"
illite = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(illite.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (illite/querry-1987).
# ... load illite as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=illite)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=2500, stop_nm=200000, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelengthSame 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 Illite
Chemical formula: (K,H3O)(Al,Mg,Fe)2(Si,Al)4O10[(OH)2,(H2O)]
API: /v1/materials/mat_fd97280bcdd9 · slug illite