General deep learning framework for emissivity engineering

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General deep learning framework for emissivity engineering
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Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve desired target emissivity spectra, as in typical emissivity engineering, for broad applications such as thermal camouflage, radiative cooling, and gas sensing, etc.

General deep learning framework for emissivity engineering retrieved 8 February 2024 from https://phys.org/news/2024-02-general-deep-framework-emissivity.html

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