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...

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Detalles Bibliográficos
Autores principales: Wang, Jining, Zhan, Yaohui, Ma, Wei, Zhu, Hongyu, Li, Yao, Li, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
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

Internet

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

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