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:10.1364/PRJ.388253

Journals >Photonics Research >Volume 8 >Issue 7 >Page 1213 > Article

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

Multitask deep-learning-based design of chiral plasmonic metamaterials

Eric Ashalley¹, Kingsley Acheampong², Lucas V. Besteiro^1、3, Peng Yu¹, Arup Neogi⁴, Alexander O. Govorov^1、5, and Zhiming M. Wang^1、*

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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DOI: 10.1364/PRJ.388253 Cite this Article Set citation alerts

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): 1213 Copy Citation Text

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