Liver

Biological materials

1 dataset, together covering 0.45–1.551 µm. Default: Giannios et al. 2017: n,k 0.45–1.551 µm.

Compare datasets

Tick datasets in the list to add them to the plot (up to 12).

Datasets

Giannios et al. 2017: n,k 0.45–1.551 µm n,k 0.45–1.551 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Liver: Giannios et al. 2017: n,k 0.45–1.551 µm
liver = ls.fetch_refractiveindex("other", "liver", "Giannios", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(liver.range_nm)  # (450, 1551) nm
eps = liver.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_9b669a1e2484/lightsmith"
liver = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(liver.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (liver/giannios-2017).

# ... load liver as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=liver)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=450, 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"]).

Materials guide Open a sphere of it in Studio Quick start Ask the community

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 Liver

API: /v1/materials/mat_c0eb08b43cde · slug liver