Together with Daniel Doehring, Jesse Chan, Hendrik Ranocha, Manuel Torrilhon and Gregor Gassner, we have submitted our paper "Volume Term Adaptivity for Discontinuous Galerkin Schemes".

Our new paper "Automatic differentiation for performing the Cauchy-Kovalevskaya procedure in Lax-Wendroff type discretizations" has been published in the Journal of Computational Physics. 

 

We combined adaptive model selection with adaptive grid refinement for multiphysics coupling simulations.

The HPSC Lab participated at the Trixi.jl workshop TRUDI 2026 in Cologne. Out Lab members presented their latest work and developments with Trixi.jl and engaged in various discussions and collaborations with other Trixi.jl users.

Using Trixi.jl we are able to couple multiphysics domains that are arbitrarily refined.

As part of the Public Climate School 2025, Prof. Michael Resch (HLRS Stuttgart) gave a well-attended public lecture at the University of Augsburg on the interplay between artificial intelligence, high-performance computing, and energy consumption.

On the 2nd and 3rd of December we hosted the CAAPS workshop on Demystifying Numerical Dissipation in Simulation Codes. We had two external and one internal talk, after which we engaged in some lively discussions and hands-on activities on how to determine numerical dissipation in simulation codes.

On the 2nd and 3rd of December we will be holding the CAAPS workshop on Demystifying Numerical Dissipation in Simulation Codes in Augsburg.

On 27th October 2025, Michael Schlottke-Lakemper gave his inaugural lecture at the University of Augsburg. The (German) title of the talk was

Wissenschaftliches Rechnen im KI-Zeitalter: Zwischen Rechen- und Denkmaschine

which roughly translates to "Scientific Computing in the AI Age: From Number Crunchers to Thinking Machines".

Our new paper "Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation" has been published in the journal Computer Physics Communication.

Our paper "Fourth-order paired-explicit Runge-Kutta methods" has been published in the journal Computational Science and Engineering.

At this year's KLAIM conference, our team member Simon Candelaresi presented some of our latest work, which lead to a few discussions.