arXiv 2301.045232023-01physics.app-ph

具有热增强热输运特性的深度学习辅助主动超材料

Deep learning-assisted active metamaterials with heat-enhanced thermal transport

Peng Jin, Liujun Xu, Guoqiang Xu, Jiaxin Li, Cheng-Wei Qiu, Jiping Huang

备注：: This paper has been accepted for publication in Advanced Materials

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AI总结：

针对自适应热超材料参数各向异性、温区窄且需人工干预的问题，提出深度学习驱动的热增强热扩散超材料，实现宽温区、自发、连续且抗热场方向变化的智能热调控。

摘要：

热管理对于被动辐射冷却、热可调可穿戴设备和伪装系统等前沿应用至关重要。为满足多样化需求，这些应用的自适应版本依赖于自适应超材料的潜力。然而，现有工作具有高度各向异性参数、工作温度范围窄以及需要人工干预等特点，这些仍是最先进的自适应超材料长期而棘手的障碍。为克服这些障碍，我们提出了由深度学习驱动的热增强热扩散超材料。这种主动超材料能够自动感知环境温度，并以高度可调性快速且连续地调节其热功能。即使外部热场改变方向，它们仍能保持稳健的热性能，仿真和实验均展示了出色结果。此外，我们设计了两种具有按需自适应能力的超器件，其利用各向同性材料、宽工作温度和自发响应实现了独特性能。本工作为智能热扩散超材料的设计提供了一个框架，并可扩展到其他扩散领域，以适应日益复杂和动态的环境。

英文摘要：

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 highly anisotropic parameters, narrow working-temperature ranges, and the need for manual intervention, which remain long-term and tricky obstacles for the most advanced self-adaptive metamaterials. To surmount these barriers, we introduce heat-enhanced thermal diffusion metamaterials powered by deep learning. Such active metamaterials can automatically sense ambient temperatures and swiftly, as well as continuously, adjust their thermal functions with a high degree of tunability. They maintain robust thermal performance even when external thermal fields change direction, and both simulations and experiments demonstrate exceptional results. Furthermore, we design two metadevices with on-demand adaptability, performing distinctive features with isotropic materials, wide working temperatures, and spontaneous response. This work offers a framework for the design of intelligent thermal diffusion metamaterials and can be expanded to other diffusion fields, adapting to increasingly complex and dynamic environments.

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