热超材料的深度学习智能设计,Advanced Materials

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热超材料的深度学习智能设计
Advanced Materials ( IF 27.4 ) Pub Date : 2023-07-02 , DOI: 10.1002/adma.202302387
Yihui Wang ₁ , Wei Sha ₁ , Mi Xiao ₁ , Cheng-Wei Qiu ₂ , Liang Gao ₁

Affiliation

热超材料是基于混合物的材料，旨在操纵、控制和处理热流，从而实现许多先进的热超材料。由于精细的解析解和易于实现的有效结构，传统的热超材料主要采用易于处理的规则几何形状设计。然而，实现任意几何形状的热超材料的设计仍然具有挑战性，更不用说热超材料的智能（自动、实时和可定制）设计了。在这里，通过预先训练的深度学习模型提出了热超材料的智能设计框架，无论任意几何形状，该框架都以卓越的速度和效率优雅地实现了热超材料的所需功能结构。它具有无与伦比的通用性，具有极大的灵活性，可以实现不同背景材料、各向异性几何形状和热功能的热超材料的相应设计。热变换诱导的、自由形式的、背景无关的、全向热斗篷的结构配置是根据形状和背景实时自动设计的，并通过数值和实验证明。这项研究为新设计场景中热超材料的自动实时设计建立了一种新颖的范例。更一般地说，它可能为在其他物理领域实现超材料智能设计打开一扇大门。

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Deep-Learning-Enabled Intelligent Design of Thermal Metamaterials

Thermal metamaterials are mixture-based materials that are engineered to manipulate, control, and process the flow of heat, enabling numerous advanced thermal metadevices. Conventional thermal metamaterials are predominantly designed with tractable regular geometries owing to the delicate analytical solution and easy-to-implement effective structures. Nevertheless, it is challenging to achieve the design of thermal metamaterials with arbitrary geometry, letting alone intelligent (automatic, real-time, and customizable) design of thermal metamaterials. Here, an intelligent design framework of thermal metamaterials is presented via a pre-trained deep learning model, which gracefully achieves the desired functional structures of thermal metamaterials with exceptional speed and efficiency, regardless of arbitrary geometry. It possesses incomparable versatility and is of great flexibility to achieve the corresponding design of thermal metamaterials with different background materials, anisotropic geometries, and thermal functionalities. The transformation thermotics-induced, freeform, background-independent, and omnidirectional thermal cloaks, whose structural configurations are automatically designed in real-time according to shape and background, are numerically and experimentally demonstrated. This study sets up a novel paradigm for an automatic and real-time design of thermal metamaterials in a new design scenario. More generally, it may open a door to the realization of an intelligent design of metamaterials in also other physical domains.

更新日期：2023-07-02

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