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

Journals >Photonics Research >Volume 7 >Issue 3 >Page 368 > Article

Photonics Research
Vol. 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、*

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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DOI: 10.1364/PRJ.7.000368 Cite this Article Set citation alerts

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 Copy Citation Text

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