Bachelor Theses in Modern Machine Learning for Fluid Mechanics


Noether Networks for Fluid Mechanics

Use meta-learning to learn the conserved quantities of fluid mechanics datasets.

Manifold Learning in Fluid Mechanics

Learn the low-dimensional manifolds, which enable for efficient generative modeling for fluid mechanics problems.

Benchmarken des aktuellen Standes der Technik im Reservoir Computing

Explore the potential of reservoir computing for ever more complex fluid mechanics problems.

All bachelor theses are co-supervised by Artur Toshev (artur.toshev@tum.de), and Ludger Paehler (ludger.paehler@tum.de). Please do not hesitate to contact us in the case of any open questions.