Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

Xianghui Liu; Pan Wang; Chengyu XiaoLiucheng FuJun XuDi ZhangHan ZhouTongxiang Fan

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Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

机译：Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

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Metasurface-based mid-infrared stealth compatible with visual or laser providea promising way to increase survivability of military installations. However,current designs of metasurfaces following traditional paradigm suffer fromlow efficiency on calculating global structural parameters for multispectralrequirements and limited thermal radiation engineering. Here, a metasurfacewith high-performance compatible stealth and effect thermal managementis proposed, based on a machine-learning-enabled inverse design approach.The approach can rapidly generate multiple non-unique solutions in global tomatch the desired spectra in multi-wavebands, utilizing neural networks withphysical-based data dimensionality. The finally generated metasurface has lowspecular reflectance (50 ℃). This study reveals an opportunity to inverselygenerate multiple solutions for photonic structures targeting on multispectralresponses, in a systematic and efficient manner.

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《Advanced functional materials》 |2023年第11期|2212068.1-2212068.10|共10页
作者
Xianghui Liu; Pan Wang; Chengyu XiaoLiucheng FuJun XuDi ZhangHan ZhouTongxiang Fan;
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作者单位

State Key Lab of Metal Matrix CompositesSchool of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240, China;

Center for Advanced Electronic Materials and DevicesSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240, China;

State Key Lab of Metal Matrix CompositesSchool of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240, China Future Materials Innovation CenterZhangjiang Institute for Advanced StudyShanghai Jiao Tong UniversityShanghai 201203, C;

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正文语种英语
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compatible stealth; machine learning; reflection splitting; thermal management;

Compatible Stealth Metasurface for Laser and Infrared with Radiative Thermal Engineering Enabled by Machine Learning

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