Mg:LiTaO₃ (Magnesium-doped lithium tantalate)

Glasses, oxides and dielectrics anisotropic

2 datasets, together covering 0.45–1.551 µm. Default: Moutzouris et al. 2011: n(o) 0.450–1.551 µm; 8 mol.% Mg.

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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

# Mg:LiTaO3 (Magnesium-doped lithium tantalate): Moutzouris et al. 2011: n(o) 0.450–1.551 µm; 8 mol.% Mg
mg_litao3 = ls.fetch_refractiveindex("other", "Mg-LiTaO3", "Moutzouris-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mg_litao3.range_nm)  # (450, 1551) nm
eps = mg_litao3.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_8e21e94200f5/lightsmith"
mg_litao3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mg_litao3.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (mg-litao3/moutzouris-2011-o).

# ... load mg_litao3 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mg_litao3)],
    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 Mg:LiTaO3 (Magnesium-doped lithium tantalate)

Other names: Magnesium-doped lithium tantalate, {'Mg': 'LiTaO₃'}

API: /v1/materials/mat_f7b44fb684ad · slug mg-litao3