Photo of Julius Jeßberger

M.Sc. Julius Jeßberger

  • Institute for Applied and Numerical Mathematics
    Karlsruhe Institute of Technology
    Englerstr. 2
    76131 Karlsruhe

Research Interests

Fluid flows contain deep structural information on the surrounding geometry as well as on physical and chemical parameters: if one modifies the geometry or the data, one may expect a different flow behavior. Our goal is to extract these parameters from measured data, especially for flows with chemical reactions. This leads to inverse problems which can be encountered with methods of optimization, optimal control coupled with the Lattice Boltzmann Method for fluid simulations. I am interested in the development of such methods as well as in their mathematical analysis and application.


Jeßberger, J.; Marquardt, J.E.; Heim, L.; Mangold, J.; Bukreev, F.; Krause, M.J. Optimization of a Micromixer with Automatic Differentiation. Fluids 2022, 7, 144. open access:


Jeßberger, J.; Marquardt, J.E.; Heim, L.; Krause, M.J. Numerical Optimization of a Micromixer. Poster, ProcessNet 2022
Klemens, F; Jeßberger, J.; Thäter, G.; Krause, M.J. Characterization of fluid flows and identification of fluid flow domains by a coupled CFD-MRI method. Talk, GAMM 2021