Li:C₁₂H₄N₄ (Lithium:tetracyanoquinodimethane, Li:TCNQ )

Liquids

1 dataset, together covering 0.21–55.56 µm. Default: Querry 1985: n,k 0.21–55.6 µm.

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Datasets

Querry 1985: n,k 0.21–55.6 µm n,k 0.21–55.56 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Li:C12H4N4 (Lithium:tetracyanoquinodimethane, Li:TCNQ ): Querry 1985: n,k 0.21–55.6 µm
li_c12h4n4 = ls.fetch_refractiveindex("other", "Li-C12H4N4", "Querry", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(li_c12h4n4.range_nm)  # (210, 55555.6) nm
eps = li_c12h4n4.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_6b33bf75dced/lightsmith"
li_c12h4n4 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(li_c12h4n4.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (li-c12h4n4/querry-1985).

# ... load li_c12h4n4 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=li_c12h4n4)],
    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"]).

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 Li:C12H4N4 (Lithium:tetracyanoquinodimethane, Li:TCNQ )

Other names: Lithium:tetracyanoquinodimethane, Li:TCNQ, {'Lithium': 'tetracyanoquinodimethane (Li:TCNQ), Li:C₁₂H₄N₄'}

API: /v1/materials/mat_4db627cb4fa8 · slug li-c12h4n4