Si:InP (Silicon-doped indium phosphide)

Semiconductors and photonic platforms

1 dataset, together covering 5–30 µm. Default: Panah et al. 2016: n,k 5.0–30 µm.

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Datasets

Panah et al. 2016: n,k 5.0–30 µm n,k 5–30 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Si:InP (Silicon-doped indium phosphide): Panah et al. 2016: n,k 5.0–30 µm
si_inp = ls.fetch_refractiveindex("other", "Si-InP", "Panah", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(si_inp.range_nm)  # (5000, 30000) nm
eps = si_inp.eps([12200])  # 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_20aee018bd59/lightsmith"
si_inp = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(si_inp.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (si-inp/panah-2016).

# ... load si_inp as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=si_inp)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=5000, stop_nm=30000, 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 Si:InP (Silicon-doped indium phosphide)

Other names: Silicon-doped indium phosphide, {'Si': 'InP'}

API: /v1/materials/mat_3965e1045a53 · slug si-inp