PbSe (Lead selenide)

Semiconductors and photonic platforms

2 datasets, together covering 0.2296–10 µm. Default: Zemel et al. 1965: n 5–10 µm.

Compare datasets

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

Datasets

Experimental data

Zemel et al. 1965: n 5–10 µm n 5–10 µm default

Models and simulations

Suzuki et al. 1995: n,k 0.230–1.08 µm n,k 0.2296–1.078 µm

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# PbSe (Lead selenide): Zemel et al. 1965: n 5–10 µm
pbse = ls.fetch_refractiveindex("main", "PbSe", "Zemel", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(pbse.range_nm)  # (5000, 10000) nm
eps = pbse.eps([7070])  # 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_b4bf8e344a11/lightsmith"
pbse = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(pbse.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (pbse/zemel-1965).

# ... load pbse as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=pbse)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=5000, stop_nm=10000, 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"]).

import json, urllib.request
import lightsmith as ls

url = "https://materials.lightsmith.dev/v1/datasets/ds_b4bf8e344a11/lightsmith?model=drude_lorentz"
pbse_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))

A dispersive Drude–Lorentz model for time-domain solvers.

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 PbSe (Lead selenide)

Lead selenide (PbSe) is a semiconducting material with noteworthy sensitivity to infrared radiation. Due to its ability to detect infrared, it finds applications in photodetectors, especially for the mid-infrared range. This makes PbSe detectors beneficial for various technologies, including thermal imaging and spectroscopy. Additionally, PbSe is researched for potential uses in photovoltaic cells and other optoelectronic devices. However, as with other lead compounds, precautions should be taken due to the potential toxicity of lead.

Other names: Lead selenide, Lead(II) selenide

Lead(II) selenide - Wikipedia

API: /v1/materials/mat_0567501c7a30 · slug pbse