Reconfigurable optical neural networks with Plug-and-Play metasurfaces

作     者：Yongmin Liu Yuxiao Li Yongmin Liu;Yuxiao Li

作者机构：Department of Mechanical and Industrial EngineeringNortheastern UniversityBostonMassachusetts 02115USA Department of Electrical and Computer EngineeringNortheastern UniversityBostonMassachusetts 02115USA 

出 版 物：《Opto-Electronic Advances》 (光电进展（英文）)

年 卷 期：2024年第7卷第7期

页      面：1-3页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：support of the National Science Foundation(ECCS-1916839 and DMR-2202268) 

主　　题：surfaces networks neural 

摘      要：In a very recent study,*** Huang and co-workers proposed and demonstrated reconfigurable optical neural networks based on cascaded *** fixing one metasurface and switching the other pluggable metasurfaces,the neural networks,which operate at near-infrared wavelengths,can perform distinct recognition tasks for handwritten digits and fashion *** innovative device opens up an avenue for all-optical,high-speed,low-power,and multifunctional artificial intelligence systems.