Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

Tian Zhang; Jia Wang; Qi Liu; Jinzan Zhou; Jian Dai; Xu Han; Yue Zhou; Kun Xu

doi:10.1364/PRJ.7.000368

Photonics Research, Volume. 7, Issue 3, 368(2019)

Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

Tian Zhang¹, Jia Wang¹, Qi Liu¹, Jinzan Zhou¹, Jian Dai¹, Xu Han², Yue Zhou¹, and Kun Xu^1、*

¹State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China

²Huawei Technologies Co., Ltd., Shenzhen 518129, China

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Tian Zhang, Jia Wang, Qi Liu, Jinzan Zhou, Jian Dai, Xu Han, Yue Zhou, Kun Xu, "Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks," Photonics Res. 7, 368 (2019)

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Paper Information

Category: Plasmonics and Metamaterials

Received: Nov. 9, 2018

Accepted: Jan. 11, 2019

Published Online: Mar. 7, 2019

The Author Email: Kun Xu (xukun@bupt.edu.cn)

DOI:10.1364/PRJ.7.000368

Topics

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