Deep Learning‐Assisted Active Metamaterials with Heat‐Enhanced Thermal Transport

Heat management is crucial for state‐of‐the‐art applications such as passive radiative cooling, thermally adjustable wearables, and camouflage systems. Their adaptive versions, to cater to varied requirements, lean on the potential of adaptive metamaterials. Existing efforts, however, feature with h...

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Vydané v:	Advanced materials (Weinheim) Ročník 36; číslo 5; s. e2305791 - n/a
Hlavní autori:	Jin, Peng, Xu, Liujun, Xu, Guoqiang, Li, Jiaxin, Qiu, Cheng‐Wei, Huang, Jiping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany Wiley Subscription Services, Inc 01.02.2024
Predmet:	active metamaterials Adaptive systems Ambient temperature Deep learning Diffusion barriers enhanced thermal conduction Heat Isotropic material Metamaterials self‐adaptability Thermal diffusion deep learning enhanced thermal conduction active metamaterials self-adaptability
ISSN:	0935-9648, 1521-4095, 1521-4095
On-line prístup:	Získať plný text
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