Predicting Supercontinuum Generation in Silicon Waveguides with a Fully Connected Neural Network
We introduce a fully connected neural network (FCNN) for predicting supercontinuum generation (SCG) in silicon waveguides. FCNN can predict SCG in silicon waveguides within one second. Experimental results demonstrate the predicting of SCG, correspondingly. © 2024 The Author(s)
Authors
- Shuyi Li (ORCID: https://orcid.org/0000-0002-1805-2584)
- Meng Deng (ORCID: https://orcid.org/0000-0003-1176-2302)
- Yi Wang (ORCID: https://orcid.org/0000-0001-9081-120X)
Institutions
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676449
- Primary Topic
- Photonic and Optical Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00