Geological Literature
Physics-Informed Neural Networks for modeling slow slip events in a spring-slider system with a rate and state friction law (SCG55-P13)(poster session)(abs.)
Rikuto Fukushima, Masayuki Kano, Kazuro Hirahara
| item | description |
|---|---|
| Title | Physics-Informed Neural Networks for modeling slow slip events in a spring-slider system with a rate and state friction law (SCG55-P13)(poster session)(abs.) |
| Authors | Rikuto Fukushima, Masayuki Kano, Kazuro Hirahara |
| Data name | Abstracts, Japan Geoscience Union Meeting (online) |
| Volume | 2023 |
| Page | SCG55-P13 |
| Year | 2023 |
| Publisher | Japan Geoscience Union |
| Language | EN |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300036959 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300036959 |