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Mathematical Fluid Mechanics

Theses

Topics for theses will be found individually. If interested contact: klingenberg@mathematik.uni-wuerzburg.de
It makes sense to attend an AG or Seminar to get familiar with a topic.

 

Ongoing theses:

Master students:

Andrea Lörke non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems coupled with uncertainty quatification
Annika Gutzeit low Mach and well-balanced num. methods for Euler w. gravity using relaxation Riemann solvers
Melissa Lange  optimal transport for seismic inverse problems
Miriam Schönleben   computing 2-dim. linear elastcity with enhancements by deep learning
Simon Wenchel a GPU implementation of a discontinuous Galerkin method applied to the Cahn-Hillard equation
Sophie Lauer Convex integration applied to multidimensional compressible Euler equations
Thomas Schuster using neural networks for efficient numerical simulations of compressible flow

 

Bachelor students:

 

Find more thesis in the list of finished theses.