Photonics Research, Volume. 8, Issue 7, 1213(2020)

Multitask deep-learning-based design of chiral plasmonic metamaterials

Eric Ashalley1, Kingsley Acheampong2, Lucas V. Besteiro1,3, Peng Yu1, Arup Neogi4, Alexander O. Govorov1,5, and Zhiming M. Wang1、*
Author Affiliations
  • 1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 2School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
  • 3Centre Énergie Matériaux et Télécommunications, Institut National de la Recherche Scientifique, Varennes QC J3X 1S2, Canada
  • 4Department of Physics, University of North Texas, Denton, Texas 76203, USA
  • 5Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
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    Eric Ashalley, Kingsley Acheampong, Lucas V. Besteiro, Peng Yu, Arup Neogi, Alexander O. Govorov, Zhiming M. Wang, "Multitask deep-learning-based design of chiral plasmonic metamaterials," Photonics Res. 8, 1213 (2020)

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    Paper Information

    Category: Surface Optics and Plasmonics

    Received: Jan. 13, 2020

    Accepted: May. 26, 2020

    Published Online: Jun. 30, 2020

    The Author Email: Zhiming M. Wang (zhmwang@uestc.edu.cn)

    DOI:10.1364/PRJ.388253

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