Transfer Learning for Optimizing Topological Z-bending Waveguide

Transfer learning was performed to optimize topological z-bending waveguides. Initial 2D datasets were used to train a convolutional neural network, followed by transfer learning for 3D structures, achieving enhanced propagation efficiency and structural adaptability.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.jps100_53
Primary Topic
Photonic and Optical Devices
Type
article
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article

Transfer Learning for Optimizing Topological Z-bending Waveguide

Tomohiro Amemiya, Sho Okada, Liyan Hu, Xiao Hu et al.
Photonic and Optical Devices
article

Transfer Learning for Optimizing Topological Z-bending Waveguide

Tomohiro Amemiya, Sho Okada, Liyan Hu, Xiao Hu, Xing-Xiang Wang, Q. Wang
article en

Abstract

Transfer learning was performed to optimize topological z-bending waveguides. Initial 2D datasets were used to train a convolutional neural network, followed by transfer learning for 3D structures, achieving enhanced propagation efficiency and structural adaptability.

Openalex Percentile: Top 75%
Photonic and Optical Devices
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Transfer Learning for Optimizing Topological Z-bending Waveguide — Tomohiro Amemiya, Sho Okada, et al. · (2025) | TGRS Research Map | TGRS