Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

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

Journal/Book_names=Abstracts, Japan Geoscience Union Meeting (online)

volume=2023

pages=SCG55-P13

Publish_year=2023

Publisher=Japan Geoscience Union

Language_of_Text=EN

ID=300036959

@id=https://gbank.gsj.jp/ld/resource/geolis/300036959