General deep learning framework for emissivity engineering
Abstract Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve desired target emissivity spectra, as a typical emissivity engineering, for broad applications such as thermal camouflage, radiative cooling, and gas sensing, etc. However, previous designs require prior...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2023-12-01
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| Serie: | Light: Science & Applications |
| Accesso online: | https://doi.org/10.1038/s41377-023-01341-w |
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