On 11th March 2026, Masato Kuzasa (M2), Sakai labo from Department of Nuclear Engineering and Management, received The CSED Student Presentation Award.
The CSED Student Presentation Award
This award is given to young researchers who delivered outstanding presentations at the Atomic Energy Society of Japan 2025 Annual Meeting under the Computational Science and Engineering Division.
About awarded research
Development of a Reduced-Order Model for Gas–Liquid-Solid Three Phase Flows with Deep Learning
Presentation overview:
Gas–solid–liquid three-phase flow analysis using the discrete element method and computational fluid dynamics has become a widely used tool in the field of nuclear engineering; however, its high computational cost remains a major challenge. In this study, we proposed a reduced-order model that combines POD (Proper Orthogonal Decomposition)-based dimensionality reduction with deep learning as a surrogate model. The results demonstrated that this reduced-order model can perform accurate calculations while achieving high computational speed.
Your impression & future plan
I am deeply honored to receive such a wonderful award. I would like to express my sincere gratitude to Professor Mikio Sakai for his guidance. I am also thankful to the members of our laboratory for their extensive support. Encouraged by this award, I will continue to devote myself to my future research.