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.
Authors
- Tomohiro Amemiya (ORCID: https://orcid.org/0000-0002-2710-8949)
- Sho Okada (ORCID: https://orcid.org/0000-0002-1957-2282)
- Liyan Hu
- Xiao Hu (ORCID: https://orcid.org/0000-0003-1128-4099)
- Xing-Xiang Wang (ORCID: https://orcid.org/0000-0002-5713-331X)
- Q. Wang
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
- Field-Weighted Citation Impact
- 0.00