In his master's thesis in Computational Engineering, Michael Wiesheu, who is now a research associate with Prof. Sebastian Schöps in the Computational Electromagnetics department, developed a numerical optimization method that can be used to increase the effectiveness of the innovative, sustainable magnetocaloric cooling systems of the Darmstadt-based start-up MAGNOTHERM. The work exploits an efficient and highly accurate isogeometric finite element discretization and combines topology and shape optimization.

A related publication in cooperation with CEM, CPS and MAGNOTHERM was recently published in the International Journal of Refrigeration:
doi.org/10.1016/j.ijrefrig.2023.04.014

The pre-print can also be viewed on arXiv: arXxiv:2212.06580