We are part of the Cluster of Excellence ‘Data-Integrated Simulation Science’, funded by the German Research Foundation (DFG).
Welcome!
Our group develops advanced data science methods to improve predictions and deepen understanding of turbulent flows and other multi-scale physical systems.
Data are used to improve simulations and our understanding of fluid flows.
Image: Heng Xiao
Data-Driven Simulation for Fluids
Our research focuses on data-integrated simulations and physics-informed machine learning for fluid flows across a wide range of spatial and temporal scales.
Interdisciplinary teaching and student research projects
We offer courses on data-driven simulation as well as programming and software seminars. Student projects are always welcome in our multilingual team. For further information, please visit the teaching page or feel free to contact us directly.
Contact
Heng Xiao
Univ.-Prof. Dr.Professor for Data-Driven Simulation of Fluids on High-Performance Computers
Seiko Shiraki
Secretary