Fri. May 31, 2024 3:30 PM - 4:45 PM 303 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD02] Crustal Deformation

3:30 PM - 3:45 PM

[SGD02-06] Fault Geometry Invariance of Crustal Deformation and Streamlined Analysis Using Physics-Informed Deep Learning

*Tomohisa Okazaki¹, Kazuro Hirahara¹, Naonori Ueda¹ (1.RIKEN Center for Advanced Intelligence Project)

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[J] Poster
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

5:15 PM - 6:45 PM

[STT38-P06] Hessian-based uncertainty quantification for Physics-Informed Neural Networks: Application to the frictional parameter estimation

*Rikuto Fukushima^1,2, Masayuki Kano², Kazuro Hirahara^3,4, Makiko Ohtani⁵ (1.Faculty of Science, Kyoto University, 2.Graduate School of Science, Tohoku University , 3.RIKEN, 4.Kagawa University, 5.Graduate School of Science, Kyoto University)

Tue. May 28, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[E] Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG40] Science of slow-to-fast earthquakes

5:15 PM - 6:45 PM

[SCG40-P11] Deep-leaning-based fault slip estimation method using GNSS displacements:
comparison with the least-squares-based method

*Ryo Nakagawa¹, Yo Fukushima^1,2, Masayuki Kano¹, Keisuke Yano³, Kazuro Hirahara^4,5 (1.Graduate School of Science and Faculty of Science, Tohoku University, 2.International Research Institute of Disaster Science, Tohoku University, 3.Institute of Statistical Mathematics, 4.Riken, 5.Kagawa University)

5:15 PM - 6:45 PM

[SCG40-P44] Spontaneous segmentation of slow slip events on a planar uniform fault -Implication from numerical simulations-

*Kento Nishikiori^1,2, Makiko Ohtani¹, Kazuro Hirahara^3,4 (1.Kyoto University, 2.Kyoritsu Electric Corporation, 3.Institute of Education, Research and Regional Cooperation for Crisis Management Shikoku at Kagawa University, 4.RIKEN Center for Advanced Intelligence Project (AIP))

Wed. May 29, 2024 9:00 AM - 10:15 AM Convention Hall (CH-B) (International Conference Hall, Makuhari Messe)

[E] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG40] Science of slow-to-fast earthquakes

10:00 AM - 10:15 AM

[SCG40-25] Inversion for the spatial distribution of frictional parameters on the Long-term SSE fault with Physics-Informed Neural Networks

*Rikuto Fukushima^1,2, Masayuki Kano², Kazuro Hirahara^3,4, Makiko Ohtani⁵, Jean-Philippe Avouac⁶, Kyungjae Im⁶ (1.Faculty of Science, Kyoto University, 2.Graduate School of Science, Tohoku University , 3.RIKEN, 4.Kagawa University, 5.Graduate School of Science, Kyoto University, 6.Geology and Planetary Science Division, California Institute of Technology)

Kazuro Hirahara

Speaker, Author, Co-Author