[S-CG71] Driving Solid Earth Science through Machine Learning

Wed. May 27, 2026 1:45 PM - 3:15 PM 301A (International Conference Hall, Makuhari Messe)

Chairperson:Matsumoto Yuma(National Research Institute for Earth Science and Disaster Resilience), Kubo Hisahiko(National Research Institute for Earth Science and Disaster Resilience)

Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We invite a wide range of presentations on ML and related research, from the budding to the more advanced.
Because this session aims to promote the integration of information science, including machine learning, with solid earth sciences, the participants' areas of expertise and technical terminology vary widely; therefore, the session language will be designated as "J." Verbal communication (oral presentation, Q&A etc.) can be given in either English or Japanese, while text in slides/posters must include English (Japanese text may be accompanied).

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1:45 PM - 2:00 PM

[SCG71-01] Reconstructing mantle thermal convection with an inverse PINN

*Atsushi Nakao^1,2 (1. Institute of Systems and Information Engineering, University of Tsukuba, 2. Research Institute for Marine Geodynamics, JAMSTEC)

2:00 PM - 2:15 PM

[SCG71-02] Improvement of Generalization in Seismic Ground-Motion Surrogate Models using Gradient-informed Spectral Feature Distillation

*Yuto Kuroki¹, Hirotaka Hachiya^1,2, Asaki Iwaki³, Takahiro Maeda³, Naonori Ueda², Hiroyuki Fujiwara³ (1. Graduate School of Systems Engineering, Wakayama University, 2. Center for AIP, RIKEN, 3. National Research Institute for Earth Science and Disaster Resilience)

2:15 PM - 2:30 PM

[SCG71-03] Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning

*Rie Nakata^1,2,3, Dongwei Lyu⁶, Nakata Nori^1,3,4, Arben Pitarka⁵, Michael W Mahoney^1,3,6, Benjamin Erichson^1,3 (1. Lawrence Berkeley National Laboratory, 2. Earthquake Research Institute, University of Tokyo, 3. International Computer Science Institute, 4. MIT, 5. Lawrence Livemore National Laboratory, 6. University of California Berkeley)

2:30 PM - 2:45 PM

[SCG71-04] Development of the J-SHIS AI Chatbot

*Yuma Matsumoto¹, Asako Iwaki¹, Nobuyuki Morikawa¹, Shinichi Kawai¹, Sho Akagi², Rina Suzuki², Misato Ishiwata² (1. National Research Institute for Earth Science and Disaster Resilience, 2. Mitsubishi Electric Software Corporation)

2:45 PM - 3:15 PM

[SCG71-05] Data-driven approaches in weather prediction and climate change adaptation

★Invited Papers

*Daisuke Matsuoka¹ (1. JAMSTEC)

Session information