In2O3-SnO2 (Indium tin oxide, ITO)
Glasses, oxides and dielectrics
6 datasets, together covering 0.1915–1.689 µm. Default: König et al. 2014: n,k 0.25–1.0 µm.
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Datasets
Thin film
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# In2O3-SnO2 (Indium tin oxide, ITO): König et al. 2014: n,k 0.25–1.0 µm
in2o3_sno2 = ls.fetch_refractiveindex("other", "In2O3-SnO2", "Konig", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(in2o3_sno2.range_nm) # (251.57, 1000) nm
eps = in2o3_sno2.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_578271ac20c6/lightsmith"
in2o3_sno2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(in2o3_sno2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (in2o3-sno2/konig-2014).
# ... load in2o3_sno2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=in2o3_sno2)],
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 In2O3-SnO2 (Indium tin oxide, ITO)
Other names: Indium tin oxide, ITO, Indium tin oxide, ITO, Tin-doped indium oxide
API: /v1/materials/mat_c15b1a5a5266 · slug in2o3-sno2