The current team members from left to right: Michael Crocoll, Tino Lück, Roland Maier, Dustin Mühlhäuser, and Sakina Ali.

Our research group Numerics of PDEs develops and analyzes numerical methods for solving partial differential equations (PDEs). A particular focus are multiscale problems that can be modeled using PDEs with strongly varying coefficients. For such problems, we construct and investigate special tailor-made methods. In addition, we are interested in combining deep learning approaches with classical numerical methods. Moreover, we work on decoupling time discretization schemes for coupled PDEs.

We are a young and dynamic team that is always open to scientific exchange. If you are interested in writing a Bachelor or Master thesis, feel free to contact us.