Ni-Fe (Nickel-iron alloy, Permalloy)
4 datasets, together covering 0.193–1.69 µm. Default: Tikuišis et al. 2017: n,k 0.193–1.69 µm; gold-coated, 150 nm.
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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
# Ni-Fe (Nickel-iron alloy, Permalloy): Tikuišis et al. 2017: n,k 0.193–1.69 µm; gold-coated, 150 nm
ni_fe = ls.fetch_refractiveindex("other", "Ni-Fe", "Tikuisis_gold150nm", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(ni_fe.range_nm) # (193, 1690) nm
eps = ni_fe.eps([633]) # complex permittivityDownloads 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_5c855d4f890d/lightsmith"
ni_fe = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(ni_fe.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (ni-fe/tikuisis-2017-gold150nm).
# ... load ni_fe as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=ni_fe)],
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 wavelengthSame 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 Ni-Fe (Nickel-iron alloy, Permalloy)
Popular alloys: Invar (~36% Ni, low thermal expansion); Permalloy (~80% Ni, highly magnetic).
Other names: Nickel-iron alloy, Permalloy, Nickel-Iron alloys, nickel–iron alloy, FeNi, NiFe, Invar, Permalloy
API: /v1/materials/mat_14f4ae2385a4 · slug ni-fe