EVASKY S87

Polymers and photoresists

1 dataset, together covering 0.25–2.5 µm. Default: Vogt et al. 2016: n,k 0.25–2.5 µm.

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Datasets

Vogt et al. 2016: n,k 0.25–2.5 µm n,k 0.25–2.5 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# EVASKY S87: Vogt et al. 2016: n,k 0.25–2.5 µm
evasky_s87 = ls.fetch_refractiveindex("other", "EVASKY_S87", "Vogt", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(evasky_s87.range_nm)  # (250, 2500) nm
eps = evasky_s87.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_f072e7533cb9/lightsmith"
evasky_s87 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(evasky_s87.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (evasky-s87/vogt-2016).

# ... load evasky_s87 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=evasky_s87)],
    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 EVASKY S87

Other names: EVASKY_S87

API: /v1/materials/mat_3513fa7f21c5 · slug evasky-s87