Mn (Manganese)
2 datasets, together covering 0.188–55.56 µm. Default: Johnson and Christy 1974: n,k 0.188–1.937 µm.
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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
# Mn (Manganese): Johnson and Christy 1974: n,k 0.188–1.937 µm
mn = ls.fetch_refractiveindex("main", "Mn", "Johnson", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mn.range_nm) # (188, 1937) nm
eps = mn.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_0f10b92b7d6f/lightsmith"
mn = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mn.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (mn/johnson-christy-1974).
# ... load mn as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mn)],
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 Mn (Manganese)
Manganese (Mn) is a transition metal with a silvery-gray appearance. It's essential in the steel industry, where it is used primarily as an alloying agent, enhancing strength, hardness, and wear resistance. In terms of optical applications, manganese can be used as a dopant in various phosphorescent and fluorescent materials, altering their luminescent properties. For instance, manganese-doped zinc sulfide is a popular phosphor, emitting a distinct orange-red light upon excitation.
Other names: Manganese
API: /v1/materials/mat_10e24f30d0b2 · slug mn