Affiliation:
1. State Key Lab of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China
2. Center for Advanced Electronic Materials and Devices School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China
3. Future Materials Innovation Center Zhangjiang Institute for Advanced Study Shanghai Jiao Tong University Shanghai 201203 China
Abstract
AbstractMetasurface‐based mid‐infrared stealth compatible with visual or laser provide a promising way to increase survivability of military installations. However, current designs of metasurfaces following traditional paradigm suffer from low efficiency on calculating global structural parameters for multispectral requirements and limited thermal radiation engineering. Here, a metasurface with high‐performance compatible stealth and effect thermal management is proposed, based on a machine‐learning‐enabled inverse design approach. The approach can rapidly generate multiple non‐unique solutions in global to match the desired spectra in multi‐wavebands, utilizing neural networks with physical‐based data dimensionality. The finally generated metasurface has low specular reflectance (<0.01) at near‐infrared laser wavelength and enhanced broad absorptance peak at 5–8 µm, which is attributed to the reflection splitting effect and infrared plasmonic resonance, respectively. Furthermore, a low‐cost fabrication method is developed to produce the metasurface by colloidal lithography. The metasurface is demonstrated to have excellent capability of radiative thermal control and significantly decrease the apparent temperature under thermal imager (>50 °C). This study reveals an opportunity to inversely generate multiple solutions for photonic structures targeting on multispectral responses, in a systematic and efficient manner.
Funder
National Natural Science Foundation of China
Subject
Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials
Cited by
14 articles.
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