十大彩票预测 学术报告[2026]035号

(高水平大学建设系列报告1294号)

报告题目：Thermodynamics-Informed Machine Learning for Multiscale PDE Models

报告人：Johannes Zimmer 教授  （慕尼黑工业大学）

报告时间：2026年4月30日10:45-11:45

报告地点：深圳大学粤海校区汇文楼办公区2433

报告内容：Understanding the connection between microscopic particle dynamics and macroscopic continuum descriptions is a central challenge in modern applied mathematics. We study partial differential equations (PDEs) arising from stochastic many-particle systems, with a focus on scale-bridging and the emergence of collective behavior. Our approach emphasizes thermodynamically consistent formulations in terms of energy and entropy evolution, including variational structures closely related to large deviation theory. A particular focus is on fluctuating hydrodynamics, which captures stochastic deviations around deterministic limit equations. We combine analytical methods with data-driven techniques, leveraging ideas from thermodynamics and statistical physics—such as Otto calculus—to design machine learning approaches that infer evolution equations directly from particle data. The research further addresses the derivation of homogenized PDE models and the development of fluctuating macroscopic descriptions, with applications in mathematical physics and mechanics, including active matter.

报告人简历： Johannes Zimmer，since 2020, he has been a Professor of Mathematics at the Technical University of Munich (TUM), serving as Chair for Analysis and Modelling. He was previously at the University of Bath (2004–2020), where he held positions as Lecturer, Reader, and Professor, and has been a Visiting Professor there since 2020.

He received his Ph.D. in Mathematics from TUM in 2000, followed by a postdoctoral position at the California Institute of Technology and a research group leadership at the Max Planck Institute for Mathematics in the Sciences in Leipzig.

His research interests include stochastic and deterministic differential equations, dynamical systems, and multiscale modeling, with a focus on nonequilibrium problems.

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邀请人：姚念

十大彩票预测

2026年4月27日