Toward high-performance plasmonic metasurfaces: from forward to inverse design approach

Chia-Hsiang Lin; Yu-Sheng Chen; Jhao-Ting Lin; Yi-Chen Cheng; Amir Hassanfiroozi; Hao Chung Wu; Hsuan-Ting Kuo; Ruzan Sokhoyan; Ghazaleh Kafaie Shirmanesh; Wen-Hui Cheng; Harry Atwater; Pin Chieh Wu

doi:10.1117/12.2594174

1 August 2021 Toward high-performance plasmonic metasurfaces: from forward to inverse design approach

Chia-Hsiang Lin, Yu-Sheng Chen, Jhao-Ting Lin, Yi-Chen Cheng, Amir Hassanfiroozi, Hao Chung Wu, Hsuan-Ting Kuo, Ruzan Sokhoyan, Ghazaleh Kafaie Shirmanesh, Wen-Hui Cheng, Harry Atwater, Pin Chieh Wu

Author Affiliations +

Proceedings Volume 11797, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XIX; 117970M (2021) https://doi.org/10.1117/12.2594174
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

In this talk, I will present two strategies to realize high-performance metasurfaces. Firstly, by introducing the generalized kerker condition to the plasmonic metasurface, we acquired a circular cross-polarization conversion efficiency higher than 50% in transmission at telecom wavelengths. We also demonstrated a couple of meta-devices with record operating efficiency based on the proposed metasurface. Secondly, I will introduce the Monte Carlo tree search (MCTS) algorithm combined with unsupervised clustering for the inverse design of metasurfaces. With the proposed method, we realized a beam steering metasurface, which is capable of deflecting normally incident light into target directions with minimal sidelobes intensity.

Conference Presentation

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Chia-Hsiang Lin, Yu-Sheng Chen, Jhao-Ting Lin, Yi-Chen Cheng, Amir Hassanfiroozi, Hao Chung Wu, Hsuan-Ting Kuo, Ruzan Sokhoyan, Ghazaleh Kafaie Shirmanesh, Wen-Hui Cheng, Harry Atwater, and Pin Chieh Wu "Toward high-performance plasmonic metasurfaces: from forward to inverse design approach", Proc. SPIE 11797, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XIX, 117970M (1 August 2021); https://doi.org/10.1117/12.2594174

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