Deep learning in photonics: introduction

Li Gao; Yang Chai; Darko Zibar; Zongfu Yu

doi:10.1364/PRJ.428702

Photonics Research, Volume. 9, Issue 8, DLP1(2021)

Deep learning in photonics: introduction

Li Gao^1,5、*, Yang Chai^2,6、*, Darko Zibar^3,7、*, and Zongfu Yu^4,8、*

¹Institute of Advanced Materials (IAM), and School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210046, China

²Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, China

³Department of Photonics Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark

⁴Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin 53706, USA

⁵e-mail: iamlgao@njupt.edu.cn

⁶e-mail: ychai@polyu.edu.hk

⁷e-mail: dazi@fotonik.dtu.dk

⁸e-mail: zyu54@wisc.edu

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Li Gao, Yang Chai, Darko Zibar, Zongfu Yu. Deep learning in photonics: introduction[J]. Photonics Research, 2021, 9(8): DLP1

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Paper Information

Special Issue: DEEP LEARNING IN PHOTONICS

Received: Apr. 22, 2021

Accepted: --

Published Online: Jul. 22, 2021

The Author Email: Li Gao (iamlgao@njupt.edu.cn), Yang Chai (ychai@polyu.edu.hk), Darko Zibar (dazi@fotonik.dtu.dk), Zongfu Yu (zyu54@wisc.edu)

DOI:10.1364/PRJ.428702

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology