Zr-H (Zirconium-hydrogen alloy, Zirconium hydride)

Metals and conductors

1 dataset, together covering 0.2261–1.685 µm. Default: Palm et al. 2018: n,k 0.226–1.68 µm.

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Datasets

Palm et al. 2018: n,k 0.226–1.68 µm n,k 0.2261–1.685 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Zr-H (Zirconium-hydrogen alloy, Zirconium hydride): Palm et al. 2018: n,k 0.226–1.68 µm
zr_h = ls.fetch_refractiveindex("other", "Zr-H", "Palm", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(zr_h.range_nm)  # (226.076, 1684.53) nm
eps = zr_h.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_5855b2db3024/lightsmith"
zr_h = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(zr_h.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (zr-h/palm-2018).

# ... load zr_h as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=zr_h)],
    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 Zr-H (Zirconium-hydrogen alloy, Zirconium hydride)

Other names: Zirconium-hydrogen alloy, Zirconium hydride, Zirconium hydride, Zirconium-hydrogen alloy

API: /v1/materials/mat_31a23c8ff98d · slug zr-h