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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:

Yu-Chen Cheng combining central schemes with well-balancing
Veronika Mayerhofer flow of gas in a network of pipes
Moritz Beck inverse problems for kinetic equations made efficient by machine learning
Sebastian Schmidt Well-balanced Verfahren für Euler mit gravity
Marius Volpert Numerik des Guermond Verfahrens
Gerhard Dill Machine learning applied to an industrial process
Luis Kaiser  Numerical wave propagation aided by machine learning
Amelie Gehring kinetic equations
Janina Kern numerical methods for conservation laws

 

Bachelor students:

 

Find more thesis in the list of finished theses.