K108 (LZOS)

Glasses, oxides and dielectrics

1 dataset, together covering 0.185–1.5e+05 µm. Default: Bassarab et al. 2023: n,k 0.185–150000 µm.

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Datasets

Bassarab et al. 2023: n,k 0.185–150000 µm n,k 0.185–1.5e+05 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# K108 (LZOS): Bassarab et al. 2023: n,k 0.185–150000 µm
k108 = ls.fetch_refractiveindex("glass", "K108-LZOS", "Bassarab", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(k108.range_nm)  # (185.03, 1.5e+08) nm
eps = k108.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_36da098767c7/lightsmith"
k108 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(k108.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (k108-lzos/bassarab-2023).

# ... load k108 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=k108)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=400, 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"]).

Materials guide Open a sphere of it in Studio Quick start Ask the community

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 K108 (LZOS)

Other names: K108, LZOS

API: /v1/materials/mat_0be09a5b8fb3 · slug k108-lzos