CsPbCl3 (Cesium lead trichloride)

Semiconductors and photonic platforms anisotropic

3 datasets, together covering 0.193–1.69 µm. Default: Ermolaev et al. 2023: n,k(o) 0.400–0.800 µm.

Compare datasets

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

Datasets

Crystal

Thin film

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

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# CsPbCl3 (Cesium lead trichloride): Ermolaev et al. 2023: n,k(o) 0.400–0.800 µm
cspbcl3 = ls.fetch_refractiveindex("other", "CsPbCl3", "Ermolaev-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(cspbcl3.range_nm)  # (400, 800) nm
eps = cspbcl3.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_ce256e032fea/lightsmith"
cspbcl3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(cspbcl3.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (cspbcl3/ermolaev-2023-o).

# ... load cspbcl3 as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=cspbcl3)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=800, 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 CsPbCl3 (Cesium lead trichloride)

Other names: Cesium lead trichloride

API: /v1/materials/mat_95fe1b790bdb · slug cspbcl3