Multitask deep-learning-based design of chiral plasmonic metamaterials

Eric Ashalley; Kingsley Acheampong; Lucas V. Besteiro; Peng Yu; Arup Neogi; Alexander O. Govorov; Zhiming M. Wang

doi:doi:10.1364/PRJ.388253

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

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

Eric Ashalley ¹Kingsley Acheampong ²Lucas V. Besteiro ^1,3Peng Yu ¹Arup Neogi ⁴Alexander O. Govorov ^1,5Zhiming M. Wang ^1,*

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

知识挖掘

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.

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

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