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： 622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

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

Multitask deep-learning-based design of chiral plasmonic metamaterials Download： 622次

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