Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks

Yihao Xu; Xianzhe Zhang; Yun Fu; Yongmin Liu

doi:10.1364/PRJ.417693

Photonics Research, Volume. 9, Issue 4, B135(2021)

Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks

Yihao Xu¹, Xianzhe Zhang², Yun Fu^2,3, and Yongmin Liu^1,2、*

Author Affiliations

¹Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts 02115, USA

²Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA

³Khoury College of Computer Science, Northeastern University, Boston, Massachusetts 02115, USA

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CLP Journals

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

[2] Jaekyung Kim, Junhwa Seong, Younghwan Yang, Seong-Won Moon, Trevon Badloe, Junsuk Rho, "Tunable metasurfaces towards versatile metalenses and metaholograms: a review," Adv. Photon. 4, 024001 (2022)

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Yihao Xu, Xianzhe Zhang, Yun Fu, Yongmin Liu, "Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks," Photonics Res. 9, B135 (2021)

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Paper Information

Special Issue: DEEP LEARNING IN PHOTONICS

Received: Dec. 15, 2020

Accepted: Feb. 3, 2021

Published Online: Apr. 6, 2021

The Author Email: Yongmin Liu (y.liu@northeastern.edu)

DOI:10.1364/PRJ.417693

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology