(Peer-Reviewed) Reconfigurable optical neural networks with Plug-and-Play metasurfaces
Yongmin Liu ¹ ², Yuxiao Li ²
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
Opto-Electronic Advances
, 2024-06-04
Abstract
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 multi-functional artificial intelligence systems.
Integrated metasurface-freeform system enabled multi-focal planes augmented reality display
Shifei Zhang, Lina Gao, Yidan Zhao, Yongdong Wang, Bo Wang, Junjie Li, Jiaxi Duan, Dewen Cheng, Cheng-Wei Qiu, Yongtian Wang, Tong Yang, Lingling Huang
Opto-Electronic Science
2026-01-23
