The 2023 SSJ Fall Meeting

The 2023 SSJ Fall Meeting

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Session Details

Room BSpecial session : S21. Acceleration of seismological research through integration with information science

[S21]PM-1

Thu. Nov 2, 2023 1:15 PM - 2:45 PM JST
Thu. Nov 2, 2023 4:15 AM - 5:45 AM UTC

Room B F201

chairperson:Ryoichiro Agata(JAMSTEC), Shinya Katoh

1:15 PM - 1:35 PM JST(4:15 AM - 4:35 AM UTC)

[S21-09][Invited]Theoretical challenges to understand the principles of deep learning and artificial intelligence

*Masaaki Imaizumi¹ (1. Graduate School of Arts and Science, the University of Tokyo)

1:35 PM - 1:55 PM JST(4:35 AM - 4:55 AM UTC)

[S21-10][Invited]Potential pathway to understanding earthquakes using a data-driven approach: learning from other informatics applications

*Stephen Wu¹ (1. The Institute of Statistical Mathematics)

1:55 PM - 2:15 PM JST(4:55 AM - 5:15 AM UTC)

[S21-11][Invited]Deep-Learning Seismology: Current Status and Expectations for Future Developments

*Kazuro HIRAHARA^1,2 (1. Riken Center for Advanced Intelligence Project, 2. Kagawa University)

2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[S21-12]Simultaneous estimation of fault geometry and slip distribution from crustal deformation data using deep operator learning

*Tomohisa OKAZAKI¹, Kazuro Hirahara¹, Naonori Ueda¹ (1. RIKEN Center for Advanced Intelligence Project)

2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)

[S21-13]Physics-Informed Neural Networks for monitoring slow slip events in a spring-slider system

*Rikuto Fukushima¹, Masayuki Kano², Kazuro Hirahara^3,4 (1. Faculty of Science, Kyoto University, 2. Graduate School of Science, Tohoku University , 3. RIKEN, 4. Kagawa University)

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