Real-time deep learning design tool for far-field radiation profile

Jinran Qie; Erfan Khoram; Dianjing Liu; Ming Zhou; Li Gao

doi:10.1364/PRJ.413567

Photonics Research, Volume. 9, Issue 4, B104(2021)

Real-time deep learning design tool for far-field radiation profile

Jinran Qie¹, Erfan Khoram², Dianjing Liu², Ming Zhou², and Li Gao^3、*

Author Affiliations

¹Department of Electrical and Systems Engineering, Washington University, St Louis, Missouri 63130, USA

²Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin 53706, USA

³Key Laboratory for Organic Electronics & Information Displays (KLOEID), Institute of Advanced Materials (IAM), and School of Materials Science and Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210046, China

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Jinran Qie, Erfan Khoram, Dianjing Liu, Ming Zhou, Li Gao, "Real-time deep learning design tool for far-field radiation profile," Photonics Res. 9, B104 (2021)

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Paper Information

Special Issue: DEEP LEARNING IN PHOTONICS

Received: Oct. 27, 2020

Accepted: Feb. 2, 2021

Published Online: Apr. 6, 2021

The Author Email: Li Gao (iamlgao@njupt.edu.cn)

DOI:10.1364/PRJ.413567

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology