Prediction of Supercontinuum Generation in Lithium Niobate Waveguides Using a Fully Connected Neural Network
A fully connected neural network (FCNN) is constructed to predict supercontinuum generation in thin-film lithium niobate waveguides. By mapping instantaneous inputs to outputs, the FCNN can efficiently and accurately predict supercontinuum generation.
Authors
- H. Y. Fu (ORCID: https://orcid.org/0000-0002-4276-0011)
- Feng Ye (ORCID: https://orcid.org/0000-0001-7477-4648)
- Haiyan Xiao (ORCID: https://orcid.org/0000-0003-2387-8804)
- Qian Li (ORCID: https://orcid.org/0000-0002-7535-1556)
Institutions
- Peking University (CN)
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11111345
- Primary Topic
- Advanced Fiber Laser Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shenzhen International Cooperation Research Project