Submitted papers
  1. Kano, M., & Fukushima, R. (2026). PINN-based short-term forecasting of fault slip evolution during the 2010 slow slip event in the Bungo Channel, Japan. arXiv:2601.21516. doi:10.48550/arXiv.2601.21516
  2. Fukushima, R., Kano, M., Hirahara, K., & Ohtani, M. (2026). Physics-informed deep learning links geodetic data and fault friction. arXiv:2601.20136. doi:10.48550/arXiv.2601.20136
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Peer-reviewed papers
  1. Fukushima, R., Kano, M., Hirahara, K., Ohtani, M., Im, K., & Avouac, J.-P. (2025). Physics-informed deep learning for estimating the spatial distribution of frictional parameters in slow slip regions. Journal of Geophysical Research: Solid Earth, 130, e2024JB030256. doi:10.1029/2024JB030256
  2. Fukushima, R., Kano, M., & Hirahara, K. (2023). Physics-informed neural networks for fault slip monitoring: Simulation, frictional parameter estimation, and prediction on slow slip events in a spring-slider system. Journal of Geophysical Research: Solid Earth, 128, e2023JB027384. doi:10.1029/2023JB027384
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx