Chinese Optics, Volume. 16, Issue 4, 816(2023)

Fano resonances design of metamaterials based on deep learning

Zhi-hu YANG, Jia-hui FU, Yu-ping ZHANG, and Hui-yun ZHANG*
Author Affiliations
  • Qingdao Key Laboratory of Terahertz Technology, College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China
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    References(32)

    [4] RAHMANI M, LUK'YANCHUK B, HONG M H. Fano resonance in novel plasmonic nanostructures[J]. Laser & Photonics Reviews, 7, 329-349(2013).

    [17] PHAN T, SELL D, WANG E W, et al. High-efficiency, large-area, topology-optimized metasurfaces[J]. Light:Science & Applications, 8, 48(2019).

    [28] XU L, RAHMANI M, MA Y X, et al. Enhanced light–matter interactions in dielectric nanostructures via machine-learning approach[J]. Advanced Photonics, 2, 026003(2020).

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    [1] Feng XIE, Shuo-long ZHU, Zhen-rong ZHANG. Design of an optical power splitter with adjustable split ratio[J]. Chinese Optics, 2023, 16(5): 1121

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    Zhi-hu YANG, Jia-hui FU, Yu-ping ZHANG, Hui-yun ZHANG. Fano resonances design of metamaterials based on deep learning[J]. Chinese Optics, 2023, 16(4): 816

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    Paper Information

    Category: Original Article

    Received: Oct. 10, 2022

    Accepted: --

    Published Online: Jul. 27, 2023

    The Author Email:

    DOI:10.37188/CO.2022-0208

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