LaAlO3 (Lanthanum aluminate)
Glasses, oxides and dielectrics
1 dataset, together covering 0.1409–1.675 µm. Default: Chernova et al. 2017: n,k 0.14–1.67 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
# LaAlO3 (Lanthanum aluminate): Chernova et al. 2017: n,k 0.14–1.67 µm
laalo3 = ls.fetch_refractiveindex("main", "LaAlO3", "Chernova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(laalo3.range_nm) # (140.89, 1675.5) nm
eps = laalo3.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_bdd96ebe50dc/lightsmith"
laalo3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(laalo3.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (laalo3/chernova-2017).
# ... load laalo3 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=laalo3)],
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"]).
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 LaAlO3 (Lanthanum aluminate)
Lanthanum aluminate, LaAlO3 (LAO), has been regarded as an ideal substrate material for epitaxial growth of 1-2-3 type superconducting thin films due to a close lattice match within 1 percent as well as its low dielectric constant and loss tangent compared to other common substrate materials.
Other names: Lanthanum aluminate, LAO
API: /v1/materials/mat_155d40a0f5a5 · slug laalo3