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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Bibliographic Details

Published in:	Advanced materials (Weinheim) Vol. 36; no. 5; pp. e2305791 - n/a
Main Authors:	Jin, Peng, Xu, Liujun, Xu, Guoqiang, Li, Jiaxin, Qiu, Cheng‐Wei, Huang, Jiping
Format:	Journal Article
Language:	English
Published:	Germany Wiley Subscription Services, Inc 01.02.2024
Subjects:	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
Online Access:	Get full text
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