M.Sc. Julius Jeßberger
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by appointment
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Kollegiengebäude Mathematik (20.30)
3.016
+49 721 608 43157
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julius.jessberger@kit.edu
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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.
Publications
| 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: https://doi.org/10.3390/fluids7050144 |
Presentations
| 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 |