Inverse Design of Silicon-Based Interlayer Coupling Structures Based on Artificial Neural Networks
For the first time, we utilize artificial neural networks to achieve the inverse design of silicon-based interlayer coupling structures. By implementing data preprocessing and migration learning methods, we significantly enhance the accuracy of the neural network. This study demonstrates the practicality of this approach for the effective inverse design of silicon-based interlayer coupling structures.
Authors
- Wei Gao (ORCID: https://orcid.org/0000-0002-9564-783X)
- Fei Yuan (ORCID: https://orcid.org/0000-0003-3867-2139)
- Hua Chen (ORCID: https://orcid.org/0000-0002-9634-9105)
- Quan Wang (ORCID: https://orcid.org/0000-0003-2345-442X)
- Han Jiang (ORCID: https://orcid.org/0000-0001-6314-3971)
- Qing Fang (ORCID: https://orcid.org/0000-0002-7286-5586)
Institutions
- Kunming University of Science and Technology (CN)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/isape62431.2024.10840831
- Primary Topic
- Laser and Thermal Forming Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00