Artificial neural networks applied in fast-designing forces in silicon subwavelength grating waveguides

Tianpei Dong; Jinzhi Wang; Chenxi Wang; Zhe Han; Liuyuan Yuan; Liuyuan Yuan; Huiping Tian

doi:10.1364/CLEO_AT.2023.JW2A.2

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.2
•https://doi.org/10.1364/CLEO_AT.2023.JW2A.2

Artificial neural networks applied in fast-designing forces in silicon subwavelength grating waveguides

Tianpei Dong, Jinzhi Wang, Chenxi Wang, Zhe Han, Liuyuan Yuan, and Huiping Tian

CLEO: Fundamental Science 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

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Joint Poster Session II (JW2A)

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T. Dong, J. Wang, C. Wang, Z. Han, L. Yuan, and H. Tian, "Artificial neural networks applied in fast-designing forces in silicon subwavelength grating waveguides," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.2.

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Abstract

We propose a subwavelength grating waveguide designed by artificial neural networks and predict the optical force generated when the Bloch mode propagates along it for trapping 50 nm nanoparticles.

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