Cs2AgBiBr6 (Cesium silver bismuth bromide, CABB)

Semiconductors and photonic platforms

1 dataset, together covering 0.3–1.698 µm. Default: Jöbsis et al. 2021: n,k 0.300–1.70 µm.

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Datasets

Jöbsis et al. 2021: n,k 0.300–1.70 µm n,k 0.3–1.698 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Cs2AgBiBr6 (Cesium silver bismuth bromide, CABB): Jöbsis et al. 2021: n,k 0.300–1.70 µm
cs2agbibr6 = ls.fetch_refractiveindex("other", "Cs2AgBiBr6", "Jobsis", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(cs2agbibr6.range_nm)  # (300, 1698) nm
eps = cs2agbibr6.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_899757838c60/lightsmith"
cs2agbibr6 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(cs2agbibr6.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (cs2agbibr6/jobsis-2021).

# ... load cs2agbibr6 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=cs2agbibr6)],
    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 Cs2AgBiBr6 (Cesium silver bismuth bromide, CABB)

Other names: Cesium silver bismuth bromide, CABB, Cesium silver bismuth bromide, CABB

API: /v1/materials/mat_519db3629160 · slug cs2agbibr6