GaAs-InAs-GaP-InP (Gallium indium arsenide phosphide, GaInAsP)

Semiconductors and photonic platforms

1 dataset, together covering 0.2066–12.4 µm. Default: Adachi 1989: n,k 0.207–12.4 µm.

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Datasets

Adachi 1989: n,k 0.207–12.4 µm n,k 0.2066–12.4 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# GaAs-InAs-GaP-InP (Gallium indium arsenide phosphide, GaInAsP): Adachi 1989: n,k 0.207–12.4 µm
mat = ls.fetch_refractiveindex("other", "GaAs-InAs-GaP-InP", "Adachi", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm)  # (206.64, 12398) 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_dbb5fd0a9056/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 (gaas-inas-gap-inp/adachi-1989).

# ... 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"]).

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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 GaAs-InAs-GaP-InP (Gallium indium arsenide phosphide, GaInAsP)

Other names: Gallium indium arsenide phosphide, GaInAsP

API: /v1/materials/mat_73206a12fade · slug gaas-inas-gap-inp