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

Journals >Photonics Research >Volume 9 >Issue 4 >Page B104 > Article

Photonics Research
Vol. 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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DOI: 10.1364/PRJ.413567 Cite this Article Set citation alerts

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): B104 Copy Citation Text

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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[J]. Photonics Research, 2021, 9(4): B104

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