AMTIR-3 (out of production) (AMI)
Glasses, oxides and dielectrics supplier-datasheet Supplier: AMI
1 dataset, together covering 3–14 µm. Default: AMTIR-3 (out of production).
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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
# AMTIR-3 (out of production) (AMI): AMTIR-3 (out of production)
ami_amtir_3 = ls.fetch_refractiveindex("specs", "AMI-infrared", "AMTIR-3", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(ami_amtir_3.range_nm) # (3000, 14000) nm
eps = ami_amtir_3.eps([6480]) # 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_a54abbce6f32/lightsmith"
ami_amtir_3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(ami_amtir_3.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (ami-amtir-3/ami).
# ... load ami_amtir_3 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=ami_amtir_3)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=3000, stop_nm=14000, 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"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_a54abbce6f32/lightsmith?model=drude_lorentz"
ami_amtir_3_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
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 AMTIR-3 (out of production) (AMI)
Other names: AMTIR-3
API: /v1/materials/mat_33af0ba90d40 · slug ami-amtir-3