On 9/4/2025, Assistant Professor Shuo Li, Sakai lab, Department of Nuclear Engineering and Management, received “The 2024 JSMF Society Award (Emerging Research Award)” at the Multiphase Flow Symposium 2025.

〈Name of award and short explanation about the award〉

2024 JSMF Society Award (Emerging Research Award)

This award is presented to young researchers who have achieved outstanding research in multiphase flows and are expected to contribute to the future development of multiphase flow science as well as to play an active role in the Japanese Society for Multiphase Flow.

〈About awarded research〉

Title: Development of a multiscale reduced-order modelling framework for CFD-DEM simulations

Abstract: This invited talk presents a multiscale reduced-order modeling framework for multiphase granular flow systems, aimed at accelerating simulations of industrial gas–solid flows. The framework combines a nonintrusive POD-based reduced-order model (ROM), with a signed distance function-based graph neural network (SGN), referred to as ROM-SGN. While CFD-DEM is an established method for simulating gas–solid flows, it is often computationally heavy for industrial-scale applications. The proposed ROM-SGN framework achieves several orders of magnitude speedup while maintaining acceptable accuracy in capturing gas-solid dynamics. This approach offers a promising and efficient pathway for constructing digital twins of multiphase processes.

〈Your impression & future plan〉

I would like to express my sincere gratitude to all the members of our lab, especially Prof. Sakai, for their continuous support. I will remain committed to advancing our research efforts.