| Reduced basis methods: Success, limitations and future challenges M Ohlberger, S Rave arXiv preprint arXiv:1511.02021, 2015 | 92 | 2015 |
| Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing M Ohlberger, S Rave Comptes Rendus Mathematique 351 (23-24), 901-906, 2013 | 76 | 2013 |
| pyMOR--generic algorithms and interfaces for model order reduction R Milk, S Rave, F Schindler SIAM Journal on Scientific Computing 38 (5), S194-S216, 2016 | 48 | 2016 |
| Hierarchical approximate proper orthogonal decomposition C Himpe, T Leibner, S Rave SIAM Journal on Scientific Computing 40 (5), A3267-A3292, 2018 | 32 | 2018 |
| MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and … J Feinauer, S Hein, S Rave, S Schmidt, D Westhoff, J Zausch, O Iliev, ... Journal of Computational Science 31, 172-184, 2019 | 21 | 2019 |
| A numerically stable a posteriori error estimator for reduced basis approximations of elliptic equations A Buhr, C Engwer, M Ohlberger, S Rave arXiv preprint arXiv:1407.8005, 2014 | 21 | 2014 |
| ArbiLoMod, a simulation technique designed for arbitrary local modifications A Buhr, C Engwer, M Ohlberger, S Rave SIAM Journal on Scientific Computing 39 (4), A1435-A1465, 2017 | 18 | 2017 |
| Model reduction for multiscale lithium-ion battery simulation M Ohlberger, S Rave, F Schindler Numerical Mathematics and Advanced Applications ENUMATH 2015, 317-331, 2016 | 16 | 2016 |
| An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action H Anzt, F Bach, S Druskat, F Löffler, A Loewe, BY Renard, G Seemann, ... F1000Research 9, 2020 | 13 | 2020 |
| A model reduction framework for efficient simulation of li-ion batteries M Ohlberger, S Rave, S Schmidt, S Zhang Finite Volumes for Complex Applications VII-Elliptic, Parabolic and …, 2014 | 9 | 2014 |
| 6 Localized model reduction for parameterized problems A Buhr, L Iapichino, K Smetana Snapshot-Based Methods and Algorithms, 245-306, 2020 | 8 | 2020 |
| True error control for the localized reduced basis method for parabolic problems M Ohlberger, S Rave, F Schindler Model reduction of parametrized systems, 169-182, 2017 | 7 | 2017 |
| Localized reduced basis approximation of a nonlinear finite volume battery model with resolved electrode geometry M Ohlberger, S Rave Model Reduction of Parametrized Systems, 201-212, 2017 | 6 | 2017 |
| Fast Low‐Rank Empirical Cross Gramians C Himpe, T Leibner, S Rave, J Saak PAMM 17 (1), 841-842, 2017 | 4 | 2017 |
| ArbiLoMod: local solution spaces by random training in electrodynamics A Buhr, C Engwer, M Ohlberger, S Rave Model reduction of parametrized systems, 137-148, 2017 | 4 | 2017 |
| Mass conservative reduced order modeling of a free boundary osmotic cell swelling problem C Lehrenfeld, S Rave Advances in Computational Mathematics 45 (5), 2215-2239, 2019 | 3 | 2019 |
| On finitely summable K-homology SD Rave Universitäts-und Landesbibliothek der Westfälischen Wilhelms-Universität, 2012 | 3 | 2012 |
| Model order reduction framework for problems with moving discontinuities H Bansal, S Rave, L Iapichino, W Schilders, N Wouw Numerical Mathematics and Advanced Applications ENUMATH 2019, 83-91, 2021 | 2 | 2021 |
| A non-stationary thermal-block benchmark model for parametric model order reduction S Rave, J Saak Model Reduction of Complex Dynamical Systems, 349-356, 2021 | 1 | 2021 |
| PSD-GREEDY BASIS GENERATION FOR STRUCTURE-PRESERVING MODEL ORDER REDUCTION OF HAMILTONIAN SYSTEMS P BUCHFINK, B HAASDONK, S RAVE Proceedings of ALGORITMY, 151-160, 2020 | 1 | 2020 |
