PbTe (Lead telluride)

Semiconductors and photonic platforms

3 datasets, together covering 4.099–12.51 µm. Default: Weiting and Yixun 1990: n 4.10–12.5 µm; 300 K.

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Datasets

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith
import lightsmith as ls

# PbTe (Lead telluride): Weiting and Yixun 1990: n 4.10–12.5 µm; 300 K
pbte = ls.fetch_refractiveindex("main", "PbTe", "Weiting-300K", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(pbte.range_nm)  # (4099, 12510) nm
eps = pbte.eps([7160])  # complex permittivity

Downloads the original record once (pinned to the imported snapshot) and caches it.

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 PbTe (Lead telluride)

Lead telluride (PbTe) is a narrow bandgap semiconductor with significant thermoelectric properties, making it particularly valuable for applications in thermoelectric power generation and cooling systems. Due to its ability to convert waste heat into electricity, PbTe-based thermoelectric materials are explored for use in various energy-harvesting applications, such as automobile exhaust systems and industrial waste heat recovery. Additionally, PbTe's responsiveness to infrared radiation has led to its employment in infrared detectors and sensors. However, the material's use is limited by the inherent toxicity of lead, necessitating careful handling and disposal.

Other names: Lead telluride, Lead(II) telluride

API: /v1/materials/mat_ff89fc8952d2 · slug pbte