Multiscale Modeling of Fluid Materials
Hof 1, Stand 19
|Leitung||Prof. Dr. Julija Zavadlav|
Most scientific phenomena across various fields, from life sciences to engineering, are multiscale in nature since the associated processes are determined by the interplay of disparate spatial and temporal scales. We focus on tackling such problems with multiscale modeling and simulations, where we merge micro and meso/macroscopic models or methods. These state-of-the-art approaches are essential, also from the point of view of computational efficiency. We use many machine learning techniques to advance the field even further. The research interests of our group, therefore, lie at the crossroads between multiscale simulations, machine learning, engineering, and high-performance computing.