Al:ZnO (Aluminium-doped zinc oxide, AZO)

2 datasets, together covering 0.3–20 µm. Default: Treharne et al. 2011: n,k 0.3–0.9 µm.

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Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Al:ZnO (Aluminium-doped zinc oxide, AZO): Treharne et al. 2011: n,k 0.3–0.9 µm
al_zno = ls.fetch_refractiveindex("other", "Al-ZnO", "Treharne", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(al_zno.range_nm)  # (300, 900) nm
eps = al_zno.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_e065b4c921a1/lightsmith"
al_zno = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(al_zno.source)  # citation and provenance travel with the data

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

# ... load al_zno as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=al_zno)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=900, 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 Al:ZnO (Aluminium-doped zinc oxide, AZO)

Other names: Aluminium-doped zinc oxide, AZO, Aluminium-doped zinc oxide, AZO, {'Al': 'ZnO'}

API: /v1/materials/mat_1a2823f577ba · slug al-zno