Publications

Yingting Miao, Christian Rohde, und Hao Tang. Well-posedness for a stochastic Camassa-Holm type equation with higher order nonlinearities. Stoch. Partial Differ. Equ. Anal. Comput., (12)1:614-674, 2024. [PUMA: 390740016 EXC2075 am from:brittalenz ians pn1 pn5 updated] URL

Aaron Krämer, Benjamin Maier, Tobias Rau, Felix Huber, Thomas Klotz, Thomas Ertl, Dominik Göddeke, Miriam Mehl, Guido Reina, und Oliver Röhrle. Multi-physics multi-scale HPC simulations of skeletal muscles. In Wolfgang E. Nagel, Dietmar H. Kröner, und Michael M. Resch (Hrsg.), High Performance Computing in Science and Engineering '20: Transactions of the High Performance Computing Center, Stuttgart(HLRS) 2020, 2021. [PUMA: EXC2075 PN5 cmcs ians]

Jenny Schmalfuss, Cedric Riethmüller, Mirco Altenbernd, Kilian Weishaupt, und Dominik Göddeke. Partitioned coupling vs. monolithic block-preconditioning approaches for solving Stokes-Darcy systems. Proceedings of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS), 2021. [PUMA: EXC2075 PN5 cmcs from:brittalenz ians] URL

Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, und Dirk Pflüger. Surrogate-data-enriched Physics-Aware Neural Networks. 2021. [PUMA: unibibliografie pn6 pn5 prePrint from:britsteiner ians exc2075 fis]

Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, und Bernard Haasdonk. Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. In Ivan Lirkov, und Svetozar Margenov (Hrsg.), Large-Scale Scientific Computing, 402--409, Springer International Publishing, 2022. [PUMA: liste peerReviewed pn5 EXC2075 from:britsteiner ians fis]

Patrick Buchfink, Silke Glas, und Bernard Haasdonk. Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. 2021. [PUMA: pn5 prePrint from:britsteiner ians exc2075 fis] URL

P. Buchfink, B. Haasdonk, und S. Rave. PSD-Greedy Basis Generation for Structure-Preserving Model Order Reduction of Hamiltonian Systems. In P. Frolkovič, K. Mikula, und D. Ševčovič (Hrsg.), Proceedings of the Conference Algoritmy 2020, 151--160, Vydavateľstvo SPEKTRUM, August 2020. [PUMA: buchfink haasdonk simtech peerReviewed pn5 EXC2075 from:britsteiner ians anm] URL

Patrick Buchfink, und Bernard Haasdonk. Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction an Uncertainty Quantification Problem. In Fred J. Vermolen, und Cornelis Vuik (Hrsg.), Numerical Mathematics and Advanced Applications ENUMATH 2019, (139)Springer International Publishing, 2021. [PUMA: buchfink haasdonk simtech pn5 from:britsteiner peerreviewed ians anm exc2075] URL

Anna Rörich, Tim A. Werthmann, Dominik Göddeke, und Lars Grasedyck. Bayesian inversion for electromyography using low-rank tensor formats. Inverse Problems, (37)5:055003, März 2021. [PUMA: PN5 cmcs from:brittalenz EXC2075 ians]

Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D. Cantwell, Peter D. Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, und Nils Wedi. Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction. The International Journal of High Performance Computing Applications, (35)4:285-311, Februar 2021. [PUMA: cmcs exc2075 ians pn5]