C₂₈H₃₁ClN₂O₃ (Rhodamine 6G)

Polymers and photoresists

1 dataset, together covering 0.193–1.69 µm. Default: Seçkin et al. 2023: n,k 0.193–1.69 µm.

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Datasets

Seçkin et al. 2023: n,k 0.193–1.69 µm n,k 0.193–1.69 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# C28H31ClN2O3 (Rhodamine 6G): Seçkin et al. 2023: n,k 0.193–1.69 µm
c28h31cln2o3 = ls.fetch_refractiveindex("organic", "rhodamine_6g", "Seckin", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(c28h31cln2o3.range_nm)  # (193, 1690) nm
eps = c28h31cln2o3.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_24d9f9371576/lightsmith"
c28h31cln2o3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(c28h31cln2o3.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (rhodamine-6g/seckin-2023).

# ... load c28h31cln2o3 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=c28h31cln2o3)],
    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"]).

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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 C28H31ClN2O3 (Rhodamine 6G)

Other names: rhodamine_6g, C28H31ClN2O3, Rhodamine 6G

API: /v1/materials/mat_03285d4da4be · slug rhodamine-6g