All‐Dielectric Metasurface Empowered Optical‐Electronic Hybrid Neural Networks-Reference-Cited by-同舟云学术

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All‐Dielectric Metasurface Empowered Optical‐Electronic Hybrid Neural Networks

Published:2022-07-20 Issue:10 Volume:16 Page:2100732
ISSN:1863-8880
Container-title:Laser & Photonics Reviews
language:en
Short-container-title:Laser & Photonics Reviews

Author:

Qu Geyang¹^ORCID,Cai Guiyi¹,Sha Xinbo¹,Chen Qinmiao¹,Cheng Jiaping¹,Zhang Yao¹,Han Jiecai²,Song Qinghai¹³,Xiao Shumin¹²³^ORCID

Affiliation:

1. State Key Laboratory on Tunable laser Technology Ministry of Industry and Information Technology Key Lab of Micro‐Nano Optoelectronic Information System Harbin Institute of Technology (Shenzhen) Shenzhen 518055 P. R. China

2. National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin 150080 P. R. China

3. Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 P. R. China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lpor.202100732

Reference52 articles.

1. Reservoir computing approaches to recurrent neural network training

2. Speech recognition with deep recurrent neural networks

3. E.Strubell A.Ganesh A.McCallum inProc. 57th Annual Meeting of the Association for Computational Linguistics ACL Florence Italy2019 pp. 3645–3650.

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