AlAs-GaAs (Aluminium gallium arsenide, AlGaAs)
Semiconductors and photonic platforms
24 datasets, together covering 0.2066–12.4 µm. Default: Aspnes et al. 1986: n,k 0.207–0.827 µm; 0% Al.
Compare datasets
Tick datasets in the list to add them to the plot (up to 12).
Datasets
Experimental data
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 0% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 9.9% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 19.8% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 31.5% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 41.9% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 49.1% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 59.0% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 70.0% Al
- Aspnes et al. 1986: n,k 0.207–0.827 µm; 80.4% Al
- Gadras et al. 2025: n,k 0.450–1.40 µm; 0% Al, 600°C
- Gadras et al. 2025: n,k 0.450–1.40 µm; 32% Al, 600 °C
- Gadras et al. 2025: n,k 0.450–1.40 µm; 53% Al, 600 °C
- Gadras et al. 2025: n,k 0.450–1.40 µm; 90% Al, 600 °C
- Gadras et al. 2025: n,k 0.450–1.40 µm; 100% Al, 600 °C
- Perner et al. 2023: n 2.0–7.1 µm; 0% Al
- Perner et al. 2023: n 2.0–7.1 µm; 92.9% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 0% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 9.7% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 21.9% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 34.2% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 41.1% Al
- Papatryfonos et al. 2021: n,k 0.260–1.88 µm; 45.2% Al
Models and simulations
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# AlAs-GaAs (Aluminium gallium arsenide, AlGaAs): Aspnes et al. 1986: n,k 0.207–0.827 µm; 0% Al
alas_gaas = ls.fetch_refractiveindex("other", "AlAs-GaAs", "Aspnes-0", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(alas_gaas.range_nm) # (206.6, 826.6) nm
eps = alas_gaas.eps([633]) # complex permittivityDownloads 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_994e0727d17f/lightsmith"
alas_gaas = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(alas_gaas.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (alas-gaas/aspnes-1986-0).
# ... load alas_gaas as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=alas_gaas)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=826, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelengthSame spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
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 AlAs-GaAs (Aluminium gallium arsenide, AlGaAs)
Other names: Aluminium gallium arsenide, AlGaAs, Aluminium gallium arsenide, AlGaAs, Aluminum gallium arsenide
API: /v1/materials/mat_d17cb4192b31 · slug alas-gaas