Publications

Maria Osorno, Malte Schirwon, Nadine Kijanski, Rakulan Sivanesapillai, Holger Steeb, and Dominik Göddeke. A cross-platform, high-performance SPH toolkit for image-based flow simulations on the pore scale of porous media. Computer Physics Communications, (267)108059October 2021. [PUMA: cmcs ians]

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, and Lars Grasedyck. Bayesian inversion for electromyography using low-rank tensor formats. Inverse Problems, (37)5:055003, March 2021. [PUMA: cmcs ians]

Felix Huber, Paul-Christian Bürkner, Dominik Göddeke, and Miriam Schulte. Knowledge-based modeling of simulation behavior for Bayesian optimization. Computational Mechanics, (74)1:151--168, 2024. [PUMA: cmcs ians myown sgs] URL

Niklas Hornischer. Model Order Reduction with Dynamically Transformed Modes for Electrophysiological Simulations. GAMM Archive for Students, 2023. [PUMA: cmcs ians sgs]

Niklas Hornischer. Model Order Reduction with Transformed Modes for Electrophysiological Simulations. 2022. [PUMA: cmcs ians sgs]

Marian Klink. Time Error Estimators and Adaptive Time-stepping Schemes. 2022. [PUMA: cmcs ians sgs]

Benjamin Maier, Dominik Göddeke, Felix Huber, Thomas Klotz, Oliver Röhrle, and Miriam Schulte. OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System. Journal of Computational Science, (79)2024. [PUMA: cmcs ians myown sgs]