AI leveraged multiscale scheme for kinetic equations
Shugo Yasuda(University of Hyogo, Graduate School of Information Science)

This research forms an interdisciplinary research team comprising experts in kinetic models for fluids, radiative transfer, plasma, and biology. By fostering knowledge exchange and identifying common challenges across these diverse fields, we aim to address fundamental issues in the numerical computation of kinetic equations and develop robust, generalizable numerical techniques. A key focus will be the development of novel multiscale hybrid methods that combine the mathematical robustness of kinetic equations with the adaptability and scalability of AI technology. These methods aim to significantly improve the accuracy and utility of existing multiscale methods for simulating complex phenomena across various scientific fields.

研究紹介ポスター／最終報告書

(1) 学術論文 （査読あり）
[]Kotaro Oda, Shugo Yasuda, 2025, Synchronized molecular dynamics simulation using LAMMPS: application to pressure-driven flows of polymer melts, Modelling and Simulation in Materials Science and Engineering, 33 (5), 055007
(2) 国際会議プロシーディングス （査読あり）
該当なし
(3) 国際会議発表（査読なし）
該当なし
(4) 国内会議発表（査読なし）
該当なし
(5) 公開したライブラリなど
[]B. Perthame, F. Salvarani, and S. Yasuda, "Multiscale analysis of a kinetic equation for mechanotaxis", arXiv:2601.05532.
[]S. Yasuda, K. Oda, F. Muragaki, Y. Taketa, M. Iwayama, T. Ina, "Synchronized molecular dynamics method for thin-layer flows of complex fluids", arXiv:2604.24138.
(6) その他（特許，プレスリリース，著書等）
該当なし