Current Publications

$\bullet $ S. Rave and F. Schindler. A locally conservative reduced flux reconstruction for elliptic problems. PAMM, November 2019. doi:10.1002/pamm.201900026.

$\bullet $ L. Balicki, P. Mlinarić, S. Rave, and J. Saak. System-theoretic model order reduction with pyMOR. PAMM, November 2019. doi:10.1002/pamm.201900459.

$\bullet $ J. Fehr, C. Himpe, S. Rave, and J. Saak. Sustainable research software hand-over. arXiv e-prints, September 2019. arXiv:1909.09469.

$\bullet $ C. Lehrenfeld and S. Rave. Mass conservative reduced order modeling of a free boundary osmotic cell swelling problem. Advances in Computational Mathematics, May 2019. URL: https://arxiv.org/abs/1805.01812, doi:10.1007/s10444-019-09691-z.

$\bullet $ J. Feinauer, S. Hein, S. Rave, S. Schmidt, D. Westhoff, J. Zausch, O. Iliev, A. Latz, M. Ohlberger, and V. Schmidt. MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction. Journal of Computational Science, 31:172–184, February 2019. URL: https://authors.elsevier.com/c/1Yiix6gytGezRh, doi:10.1016/j.jocs.2018.03.006.

$\bullet $ A. Buhr, L. Iapichino, M. Ohlberger, S. Rave, F. Schindler, and K. Smetana. Localized model reduction for parameterized problems. arXiv e-prints, pages 51, February 2019. arXiv:1902.08300.

$\bullet $ M. Ohlberger, A. Buhr, D. Eikhorn, C. Engwer, and S. Rave. Advances in model order reduction for large scale or multi-scale problems. Oberwolfach Reports, 2019:38–40, 2019.