Physics-based Deep Learning - Thürey Group
Last modified by Judith Steinfeld on 2025/03/26 12:23
- A short descriptive name, e.g. "Arbeitsgruppe Kasieczka" or "Röntgenphysik Göttingen"
Physics-based Deep Learning - Thürey Group
- The full name of the group and it's affiliation, with different hierarchy levels on individual lines, e.g: "group name <new line> institute name <new line> university name"
Physics-based Deep Learning - Thürey Group
Computer Science
Technische Universität München (TUM)- A link to the group's homepage.
- https://ge.in.tum.de/research/
- A more detailed description of the group, their topics and interests.
The focus of our research is to develop artificial intelligence (AI) techniques for physics simulations. In particular, we’re interested in leveraging Neural Networks and Deep Learning methods. This field has significant potential for a wide range of applications, from understanding and analyzing materials for engineering and virtual representations, to medical applications and weather forecasting. A particular emphasis of our group lies on simulating fluid flows (i.e. Navier-Stokes), but elasticity and other complex material models are likewise likewise highly interesting targets for us.
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- Optional. Further details regarding cooperation.