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

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

doi:doi:10.1364/PRJ.413567

Photonics Research, 2021, 9 (4): 0400B104, Published Online: Apr. 6, 2021

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

Jinran Qie ¹Erfan Khoram ²Dianjing Liu ²Ming Zhou ²Li Gao ^3,*

Author Affiliations

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

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

³ Key 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

Basic Information

DOI:	10.1364/PRJ.413567
中图分类号:	--
栏目:	DEEP LEARNING IN PHOTONICS
项目基金:	National Natural Science Foundation of China10.13039/501100001809（61974069）、 Natural Science Foundation of Jiangsu Province10.13039/501100004608（ 62022043）、 NUPTSF（ BK20191379）、 NJUPT 1311 Talent Program（ NY219008）
收稿日期:	Oct. 27, 2020
修改稿日期:	Dec. 28, 2020
网络出版日期:	Apr. 6, 2021
通讯作者:	Li Gao (iamlgao@njupt.edu.cn)
备注:	--

Jinran Qie, Erfan Khoram, Dianjing Liu, Ming Zhou, Li Gao. Real-time deep learning design tool for far-field radiation profile[J]. Photonics Research, 2021, 9(4): 0400B104.

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

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