V-Ga (Vanadium-gallium alloy)

2 datasets, together covering 0.45–10 µm. Default: Golovashkin et al. 1970: n,k 0.45–10 µm; 293 K.

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Datasets

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# V-Ga (Vanadium-gallium alloy): Golovashkin et al. 1970: n,k 0.45–10 µm; 293 K
v_ga = ls.fetch_refractiveindex("other", "V-Ga", "Golovashkin-293K", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(v_ga.range_nm)  # (450, 10000) nm
eps = v_ga.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_1563b59cf2e3/lightsmith"
v_ga = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(v_ga.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (v-ga/golovashkin-1970-293k).

# ... load v_ga as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=v_ga)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=450, 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 V-Ga (Vanadium-gallium alloy)

Other names: Vanadium-gallium alloy, Vanadium gallide, Trivanadium monogallide

API: /v1/materials/mat_8dce8a73ce9f · slug v-ga