TlBr-TlCl (Thallium bromo-chloride, KRS-6)
Glasses, oxides and dielectrics
1 dataset, together covering 0.6–24 µm. Default: Hettner and Leisegang 1948: n 0.6–24 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
# TlBr-TlCl (Thallium bromo-chloride, KRS-6): Hettner and Leisegang 1948: n 0.6–24 µm
tlbr_tlcl = ls.fetch_refractiveindex("other", "TlBr-TlCl", "Hettner", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(tlbr_tlcl.range_nm) # (600, 24000) nm
eps = tlbr_tlcl.eps([633]) # 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_daae50a99e67/lightsmith"
tlbr_tlcl = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(tlbr_tlcl.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (tlbr-tlcl/hettner-leisegang-1948).
# ... load tlbr_tlcl as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=tlbr_tlcl)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=600, stop_nm=1000, 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 TlBr-TlCl (Thallium bromo-chloride, KRS-6)
Other names: Thallium bromo-chloride, KRS-6, Thallium bromo-chloride, KRS-6, Thallium bromochloride, Thallium bromide chloride
API: /v1/materials/mat_31841c14025a · slug tlbr-tlcl