Publications

Felix Huber, Paul-Christian Bürkner, Dominik Göddeke, and Miriam Schulte. Knowledge-based modeling of simulation behavior for Bayesian optimization. Computational Mechanics, January 2024. [PUMA: PN5 cmcs ians]

Carme Homs-Pons, Robin Lautenschlager, Laura Schmid, Jennifer Ernst, Dominik Göddeke, Oliver Röhrle, and Miriam Schulte. Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models. GAMM-Mitteilungen, March 2024. [PUMA: PN5 cmcs ians]

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)102291July 2024. [PUMA: PN5 cmcs ians]

Björn Schembera, Cedric Riethmüller, and Dominik Göddeke. Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs. 2023. [PUMA: cmcs hpc mathematik metadata myown ontoloties simtech simulation] URL

MT Horsch, B Schembera, and MaRDI DFG. Epistemic metadata in molecular modelling: First-stage case-study report (10 cases). Inprodat eV, Kaiserslautern, Tech. Rep, 2023. [PUMA: cmcs mathematik metadata myown simulation] URL

Martin Thomas Horsch, Björn Schembera, and Heinz A Preisig. European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling. Proc. ICAPAI, 2023. [PUMA: "dark FAIR cmcs data" ians mathematik metadata myown] URL

Björn Schembera. Die im Dunklen sieht man doch. Faktor Mensch, 249--249, 2023. [PUMA: "dark cmcs data" mathematik myown] URL

Björn Schembera, Frank Wübbeling, Thomas Koprucki, Christine Biedinger, Marco Reidelbach, Burkhard Schmidt, Dominik Göddeke, and Jochen Fiedler. Building Ontologies and Knowledge Graphs for Mathematics and its Applications. Proceedings of the Conference on Research Data Infrastructure, (1)2023. [PUMA: cmcs mathematik metadata myown rdm simulation] URL

Marcus Brennenstuhl, Robert Otto, Björn Schembera, and Ursula Eicker. Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings. 2023. [PUMA: cmcs myown simulation] URL

Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, and Dominik Göddeke. Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. 2023. [PUMA: cmcs ians models myown nfdi ontologies rdm semantics] URL

Peter Benner, Martin Burger, Dominik Göddeke, Christiane Görgen, Christian Himpe, Jan Heiland, Thomas Koprucki, Mario Ohlberger, Stephan Rave, Marco Reiselbach, Jens Saak, Anita Schöbel, Karsten Tabelow, and Marcus Weber. Die mathematische Forschungsdateninitiative in der NFDI: MaRDI (Mathematical Research Data Initiative). GAMM Rundbrief, (2022)1May 2022. [PUMA: cmcs ians]

Paula Strohbeck, C. Riethmüller, Dominik Göddeke, and Iryna Rybak. Robust and efficient preconditioners for Stokes-Darcy problems. In Emmanuel Franck, Jürgen Fuhrmann, Victor Michel-Dansac, and Laurent Navoret (Eds.), Finite Volumes for Complex Applications X - Volume 1, Elliptic and Parabolic Problems, 375-383, Springer Nature Switzerland, 2023. [PUMA: PN5 am cmcs flupor from:sylviazur ians]

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 Dynamically Transformed Modes for Electrophysiological Simulations. GAMM Archive for Students, 2023. [PUMA: cmcs from:felixhuber ians sgs]