NN-IGBM: A Full-Physics Raman Numerical Solution Solving Framework Initialized by Neural Network
We propose a full-physics solver framework for Raman amplifiers with third-order pumps. Simulations demonstrate that it improves the convergence rate to 98.37 % and simulation speed by 19.85 times on average over 10,000 simulation cases.
Authors
- Lilin Yi (ORCID: https://orcid.org/0000-0002-6039-9063)
- Weisheng Hu (ORCID: https://orcid.org/0000-0002-6168-2688)
- Qunbi Zhuge (ORCID: https://orcid.org/0000-0002-2437-0220)
- Xiaomin Liu (ORCID: https://orcid.org/0000-0002-3199-0735)
- Yicheng Xu (ORCID: https://orcid.org/0000-0003-2975-1206)
- Zihang Wang (ORCID: https://orcid.org/0000-0001-9032-5412)
- Yihao Zhang (ORCID: https://orcid.org/0009-0008-6965-1975)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110726
- Primary Topic
- Thin-Film Transistor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University