Metamaterials
1 dataset, together covering 1.2–1.775 µm. Default: Valentine et al. 2008: Metamaterial; n 1.200–1.775 µm.
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Tick datasets in the list to add them to the plot (up to 12).
Datasets
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Metamaterials: Valentine et al. 2008: Metamaterial; n 1.200–1.775 µm
metamaterials = ls.fetch_refractiveindex("other", "metamaterials", "Valentine", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(metamaterials.range_nm) # (1200, 1775) nm
eps = metamaterials.eps([1460]) # 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_24315ee35c57/lightsmith"
metamaterials = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(metamaterials.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (metamaterials/valentine-2008).
# ... load metamaterials as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=metamaterials)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=1200, stop_nm=1775, 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 Metamaterials
Metamaterials are artificial materials engineered to have properties that may not be found in nature. The greatest potential of metamaterials is the possibility to create a structure with a negative refractive index, since this property is not found in any non-synthetic material.
API: /v1/materials/mat_52b6ff08b40d · slug metamaterials