A knowledge-inherited learning for intelligent metasurface design and assembly  

作　　者：Yuetian Jia Chao Qian Zhixiang Fan Tong Cai Er-Ping Li Hongsheng Chen 

机构地区：[1]ZJU-UIUC Institute,Interdisciplinary Center for Quantum Information,State Key Laboratory of Extreme Photonics and Instrumentation,Zhejiang University,Hangzhou 310027,China [2]ZJU-Hangzhou Global Science and Technology Innovation Center,Key Lab.of Advanced Micro/Nano Electronic Devices&Smart Systems of Zhejiang,Zhejiang University,Hangzhou 310027,China [3]Jinhua Institute of Zhejiang University,Zhejiang University,Jinhua 321099,China [4]Air and Missile Defense College,Air Force Engineering University,Xi'an 710051,China [5]Shaoxing Institute of Zhejiang University,zhejiang University,Shaoxing,321000,China

出　　处：《Light(Science & Applications)》2023年第4期680-690,共11页光（科学与应用)（英文版）

基　　金：sponsored by the Key Research and Development Program of the Ministry of Science and Technology under Grants No.2022YFA1404704,2022YFA1404902,2022YFA1405200;the National Natural Science Foundation of China(NNSFC)under Grants No.11961141010,No.61975176,the Top-Notch Young Talents Program of China and the Fundamental Research Funds for the Central Universities.

摘　　要：Recent breakthroughs in deep learning have ushered in an essential tool for optics and photonics,recurring in various applications of material design,system optimization,and automation control.Deep learning-enabled on-demand metasurface design has been the subject of extensive expansion,as it can alleviate the time-consuming,low-efficiency,and experience-orientated shortcomings in conventional numerical simulations and physics-based methods.However,collecting samples and training neural networks are fundamentally confined to predefined individual metamaterials and tend to fail for large problem sizes.Inspired by object-oriented C++programming,we propose a knowledge-inherited paradigm for multi-object and shape-unbound metasurface inverse design.Each inherited neural network carries knowledge from the"parent"metasurface and then is freely assembled to construct the"offspring"metasurface;such a process is as simple as building a container-type house.We benchmark the paradigm by the free design of aperiodic and periodic metasurfaces,with accuracies that reach 86.7%.Furthermore,we present an intelligent origami metasurface to facilitate compatible and lightweight satellite communication facilities.Our work opens up a new avenue for automatic metasurface design and leverages the assemblability to broaden the adaptability of intelligent metadevices.

关 键 词：BREAKTHROUGH consuming SHORTCOMINGS 

分 类 号：O43[机械工程—光学工程]