• Green Energy: Investigation of different energy harvester techniques, here thermoelectric generator (TEG): The left image shows the TEG in the center, attached to a heat sink (bottom) and the thermal mass (top). The temperature gradient within the TEG causes charge carriers to diffuse. Red arrows in the right image indicate the current density.
  • Green Energy: CFD simulation of the doctor blading process to investigate the influence of different parameters on the film thickness. Top: Image shows the printing fluid and the applicator (red) from the experiment; Bottom: Corresponding CFD simulation.
  • Green Energy: Temperature field in a low temperature PEM fuel cell with serpetine flow field. Hydrogen (anode side) and air (cathode side) have opposite flow directions. The chemical reaction within the PEMFC leads to a temperature increase.
  • Green Energy: Inductive energy transfer for electromobility. In the image, the strength of the magnetic flux density and the magnetic field lines are shown.
  • Life Science: 2D view of membrane potential. Black dots represent the vortex filaments.
  • Life Science: The sinus rhythm is characterized by plane waves in the membrane potential, which propagate evenly. Blood is pumped properly into the pulmonary system and the body.
  • Life Science: Cardiac arrhythmias such as ventricular fibrillation are characterized by chaotic and especially spiral excitations of the membrane potential. As a result, the blood can no longer be pumped properly into the pulmonary system or the body.
  • Sensor Technologies: Ultrasound simulation of a generic flow meter. Highlighted in this picture is the relative coarse mesh which is possible with the Discontinuous Galerkin Method. The latter became only recently available in COMSOL Multiphysics, rendering full-3D simulation feasible without the need of a large-scale HPC solution.
  • Sensor Technologies: Fictional showcase of guided Lamb waves in plate-like structures. Ultrasonic acoustic waves are radiated in a surrounding fluid.

At the faculty of applied mathematics, physics and humanities, a core competence is the mathematical simulation and modelling of physics-based problems. To intensify the applied research in this field, three research groups were founded.

Each group uses specific methods and approaches from the realm of computational physics and applies them to different fields of research.

Research groups

Green Energy

The focus of this research group is the development and improvement of sustainable technologies. Numerical methods, especially multi-physical FEM-based simulations, are our tool of choice, since they allow for a deep insight and understanding of a variety of processes and phenomena.

For more information about the activities of Computational Physics for Green Energy (CP4GE), look at the groups website. An overview of available student projects in the bachelor or master program as well as subjects for final theses can be found here.

Life Science

We use numerical and AI-based methods for our investigations within cardiological related issues.


For further information, see the group's website.

Sensor Technologies

We apply multi-physical finite-element (FEM) simulations and accompanying analytical modelling to solve various kinds of questions that arise in the innovation process of sensor technologies.


Please have a look at our website to see what we can do for you or how you can join our team.