Photonics Research, 2020, 8 (7): 07001213, Published Online: Jun. 30, 2020  

Multitask deep-learning-based design of chiral plasmonic metamaterials Download: 621次

Author Affiliations
1 Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China
2 School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
3 Centre Énergie Matériaux et Télécommunications, Institut National de la Recherche Scientifique, Varennes QC J3X 1S2, Canada
4 Department of Physics, University of North Texas, Denton, Texas 76203, USA
5 Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
Basic Information
DOI: 10.1364/PRJ.388253
中图分类号: --
栏目: Surface Optics and Plasmonics
项目基金: National Key Research and Development Program of China10.13039/501100012166(2019YFB2203400)、 China Postdoctoral Science Foundation10.13039/501100002858( 2017M622992)、 National Science Foundation EFRI( 2019M663467)、 UESTC Shared Research Facilities ofElectromagnetic Wave and Matter Interaction( 2019T120820)、 1741677、 Y0301901290100201
收稿日期: Jan. 13, 2020
修改稿日期: May. 5, 2020
网络出版日期: Jun. 30, 2020
通讯作者: Zhiming M. Wang (zhmwang@uestc.edu.cn)
备注: --

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[J]. Photonics Research, 2020, 8(7): 07001213.

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