Reconfigurable optical neural networks with Plug-and-Play metasurfaces  

作　　者：Yongmin Liu Yuxiao Li 

机构地区：[1]Department of Mechanical and Industrial Engineering,Northeastern University,Boston,Massachusetts 02115,USA [2]Department of Electrical and Computer Engineering,Northeastern University,Boston,Massachusetts 02115,USA

出　　处：《Opto-Electronic Advances》2024年第7期1-3,共3页光电进展（英文）

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

摘　　要：In a very recent study,Prof.Lingling Huang and co-workers proposed and demonstrated reconfigurable optical neural networks based on cascaded metasurfaces.By 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 products.This innovative device opens up an avenue for all-optical,high-speed,low-power,and multifunctional artificial intelligence systems.

关 键 词：SURFACES networks NEURAL 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]