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Machine learning enabled rational design for dynamic thermal emitters with phase change materials
Dynamic thermal emitters have attracted considerable attention due to their potential in widespread applications such as radiative cooling, thermal switching, and adaptive camouflage. However, the state-of-art performances of dynamic emitters are still far below expectations. Here, customized to the...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220477/ https://www.ncbi.nlm.nih.gov/pubmed/37250787 http://dx.doi.org/10.1016/j.isci.2023.106857 |