Published paper: ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback, accepted for publication in ApJ
Published paper: First High-Resolution Galaxy Simulations Accelerated by a 3D Surrogate Model for Supernovae, NeurIPS ML4PS Workshop
Published paper: Surrogate Modeling for Computationally Expensive Simulations of Supernovae in High-Resolution Galaxy Simulations, NeurIPS 2023 AI for Science Workshop
Published paper: 3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations, MNRAS, 526, 3
Published paper: Predicting the Expansion of Supernova Shells Using Deep Learning toward Highly Resolved Galaxy Simulations, Proceedings of the International Astronomical Union, 16(S362), 209-214
Published paper: Predicting the expansion of supernova shell for high-resolution galaxy simulations using deep learning, J. Phys.: Conf. Ser. 2207 012050
Award: The Next Generation Researcher Award, The 4th Research Workshop of Program for Promoting Research on the Supercomputer Fugaku, February 2025
Grant: Grant-in-Aid for JSPS Fellows, Project ID 22J23077, 22KJ1153, FY2022 - FY2024, 2.5M JPY
Background
RIKEN Special Postdoctoral Researcher working on the development of codes and algorithms for galaxy formation simulations. Mainly focuses on developing Communication Avoiding Algorithm (CA Algorithm) for large-scale computation using deep learning techniques in the field of computer vision.
Miscellany
Gender: Male
Address: 2-1, Hirosawa, Wako, Saitama 351-0198, Japan