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 Xu1、*
Author Affiliations
  • 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[J]. Photonics Research, 2019, 7(3): 368

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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

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