Dr. Tom Freudenberg

Courses (Selection)complete list

1. Übungen Machine Learning for Solving PDEs (Sommersemester 2026)

Publications (Selection)complete list

1. F. Wiesener, T. Freudenberg, B. Bergmann, A. Rademacher, A. Schmidt, M. Eden, K. M. Heide.
   A multiscale simulation approach for grinding processes: grain engagement, heat generation, and coolant interaction.
   Production Engineering, 20:31 :1-19, Springer Verlag, 2026. published online

   DOI: 10.1007/s11740-025-01389-0

2. M. Eden, T. Freudenberg.
   Effective Heat Transfer Between a Porous Medium and a Fluid Layer: Homogenization and Simulation.
   Multiscale Modeling & Simulation: A SIAM interdisciplinary journal, 22(2):752-783, 2024.

   DOI: 10.1137/22M154179

3. T. Freudenberg, M. Eden.
   Homogenization and simulation of heat transfer through a thin grain layer.
   Networks and Heterogeneous Media, 19(2):569-596, 2024.

   DOI: 10.3934/nhm.2024025

4. A. Denker, Z. Kereta, I. Singh, T. Freudenberg, T. Kluth, B. Maass, S. Arridge.
   Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.
   Applied Mathematics for Modern Challenges, 2(2):119-139, 2024.

   DOI: 10.3934/ammc.2024005

5. M. Eden, T. Freudenberg, A. Muntean.
   Precomputing approach for a two-scale phase transition model.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2407.21595