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

Inversion for the spatial distribution of frictional parameters on the Long-term SSE fault with Physics-Informed Neural Networks (SCG40-25)(abs.)

Authors=Rikuto Fukushima, Masayuki Kano, Kazuro Hirahara, Makiko Ohtani, Jean-Philippe Avouac, Kyungjae Im

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

volume=2024

pages=SCG40-25

Publish_year=2024

Publisher=Japan Geoscience Union

Language_of_Text=EN

ID=300044375

@id=https://gbank.gsj.jp/ld/resource/geolis/300044375