Pilkington-Optiwhite (NSG)

Glasses, oxides and dielectrics

1 dataset, together covering 0.3014–1.498 µm. Default: Treharne et al. 2011: n,k 0.3–1.5 µm.

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Datasets

Treharne et al. 2011: n,k 0.3–1.5 µm n,k 0.3014–1.498 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Pilkington-Optiwhite (NSG): Treharne et al. 2011: n,k 0.3–1.5 µm
mat = ls.fetch_refractiveindex("glass", "Pilkington-Optiwhite", "Treharne", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm)  # (301.418, 1497.94) nm
eps = mat.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_268677aad087/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (pilkington-optiwhite/treharne-2011).

# ... load mat as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
    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 Pilkington-Optiwhite (NSG)

Other names: NSG

API: /v1/materials/mat_2cae58cf60d5 · slug pilkington-optiwhite