Institute of Semiconductors

Chinese Academy of Sciences

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

Dong, Tianpei; Wang, Jinzhi; Wang, Chenxi; Han, Zhe; Yuan, Liuyuan; Tian, Huiping Source: CLEO: Fundamental Science, CLEO:FS 2023, 2023, CLEO: Fundamental Science, CLEO:FS 2023;

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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