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    • Group Ohlberger
      • Team
        • Stephan Rave
  • Numerical Analysis & Scientific Computing
  • Research
  • Teaching
  • Software
  • Team
    • Secretary
    • Julia Brunken
    • René Fritze
    • Tim Keil
    • Hendrik Kleikamp
    • Tobias Leibner
    • Mario Ohlberger
    • Stephan Rave
    • Felix Schindler
    • Julia Schleuß
    • Lukas Renelt
    • Marie Tacke
    • Alumni
Dr. Stephan Rave

Postdoc

Group Numerical Analysis and Scientific Computing
Room 120.023
Orleans-Ring 10
48149 Muenster
Germany
Tel: +49 251 83 35061
Fax: +49 251 83 32729
stephan.rave@uni-muenster.de
  • Main Research Interests

    • Model order reduction
    • Reduced basis methods
    • Numerical multiscale and domain decomposition methods
    • Nonlinear approximation of advection dominated PDEs
    • Communication avoiding algorithms for distributed low-rank approximation
    • Research software engineering
  •  

    Projects

    • EXC 2044 - C4: Geometry-based modelling, approximation, and reduction (2019 - 2025)
      Third-party funding : DFG - Cluster of Excellence | Project Number: EXC 2044/1
    • pyMOR - pyMOR - Sustainable Software for Model Order Reduction (2018 - 2021)
      Third-party funding : DFG - Scientific Library Services and Information Systems | Project Number: RA 3055/1-1
    • MALLi2 - Modellbasierte Abschätzung der Lebensdauer von gealterten Li-Batterien für die 2nd Life Anwendung als stationärer Stromspeicher (2018 - 2020)
      Third-party funding : Federal Ministry of Education and Research | Project Number: 05M18PMA
    • CRC 878 C02 - The fine structure of nuclear C*-algebras (2010 - 2019)
      Third-party funding : DFG - Collaborative Research Centre
    • MULTIBAT - Verbundprojekt 05M2013 - MULTIBAT: Multiskalenmodelle und Modellreduktionsverfahren zur Vorhersage der Lebensdauer von Lithium-Ionen-Batterien - Teilprojekt 1 (2013 - 2016)
      Third-party funding : Federal Ministry of Education and Research | Project Number: 05M13PMA
  •  

    Publications

    • 2021
    • 2020
    • 2019
    • 2018
    • 2017
    • 2016
    • 2014
    • 2013
    • 2012
    • 2007

    2021

    • Buhr Andreas, Iapichino Laura, Ohlberger Mario, Rave Stephan, Schindler Felix, Smetana Kathrin. 2021. ‘Localized model reduction for parameterized problems.’ In Model Order Reduction: Volume 2 Snapshot-Based Methods and Algorithms, edited by Benner P, Grivet-Talocia S, Quarteroni A, Rozza G, Schilders W, Sileira L, 245 - 306. doi: 10.1515/9783110671490-006.

    2020

    • Anzt H, Bach F, Druskat S, Löffler F, Loewe A, Renard B, Seemann G, Struck A, Achhammer E, Aggarwal P, Appel F, Bader M, Brusch L, Busse C, Chourdakis G, Dabrowski P, Ebert P, Flemisch B, Friedl S, Fritzsch B, Funk M, Gast V, Goth F, Grad J, Hermann S, Hohmann F, Janosch S, Kutra D, Linxweiler J, Muth T, Peters-Kottig W, Rack F, Raters F, Rave S, Reina G, Reißig M, Ropinski T, Schaarschmidt J, Seibold H, Thiele J, Uekermann B, Unger S, Weeber R. 2020. ‘An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action.’ F1000Research 9, No. 295. doi: 10.12688/f1000research.23224.1.
    • Bansal H, Rave S, Iapichino L, Schilders WHA, van de Wouw N. 2020. ‘Model order reduction framework for problems with moving discontinuities.’ Contributed to the Proceedings of ENUMATH 2019, Egmond aan Zee. [In Press]
    • Buchfink P, Haasdonk B, Rave S. 2020. ‘PSD-Greedy Basis Generation for Structure-Preserving Model Order Reduction of Hamiltonian Systems.’ Contributed to the ALGORITMY 2020, Vysoké Tatry.
    • Mlinarić P, Rave S, Saak J. 2020. ‘Parametric model order reduction using pyMOR.’ Contributed to the MODRED 2019, Graz. [Accepted]
    • Rave S, Saak J. 2020. ‘A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction.’ Contributed to the ENUMATH 2019, Graz. [Accepted]

    2019

    • Balicki L, Mlinarić P, Rave S, Saak J. 2019. ‘System-theoretic model order reduction with pyMOR.’ PAMM 19. doi: 10.1002/pamm.201900459.
    • Fehr J, Himpe C, Rave S, Saak J. 2019. ‘Sustainable Research Software Hand-Over.’ arXiv 2019. [Accepted]
    • Feinauer J, Hein S, Rave S, Schmidt S, Westhoff D, Zausch J, Iliev O, Latz A, Ohlberger M, Schmidt V. 2019. ‘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. doi: 10.1016/j.jocs.2018.03.006.
    • Lehrenfeld Christoph, Rave Stephan. 2019. ‘Mass Conservative Reduced Order Modeling of a Free Boundary Osmotic Cell Swelling Problem.’ Advances in Computational Mathematics 45, No. 5: 2215-2239. doi: 10.1007/s10444-019-09691-z.
    • Ohlberger M, Buhr A, Eikhorn D, Engwer C, Rave S. 2019. ‘Advances in Model Order Reduction for Large Scale or Multi-Scale Problems.’ Oberwolfach Reports 16, No. 3: 2510-2512. doi: 10.4171/OWR/2019/40.
    • Rave Stephan, Schindler Felix. 2019. ‘A locally conservative reduced flux reconstruction for elliptic problems.’ In Special Issue: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), edited by Eberhardsteiner J, Schöberl M.: Wiley. doi: 10.1002/pamm.201900026.

    2018

    • Himpe C, Leibner T, Rave S. 2018. ‘Hierarchical Approximate Proper Orthogonal Decomposition.’ SIAM J. Sci. Comput. 40, No. 5: A3267-A3292.
    • Ohlberger Mario, Rave Stephan, Schindler Felix, Wedemeier Tobias. 2018. ‘Model reduction for parameterized systems and inverse problems.’ Oberwolfach Reports 2018, No. 39: 2454-2457. doi: 10.4171/OWR/2018/39.

    2017

    • Buhr A, Engwer C, Ohlberger M, Rave S. 2017. ‘ArbiLoMod, a Simulation Technique Designed for Arbitrary Local Modifications.’ SIAM J. Sci. Comput. 39, No. 4: A1435–A1465. doi: 10.1137/15M1054213.
    • Buhr A, Engwer C, Ohlberger M, Rave S. 2017. ‘ArbiLoMod: Local Solution Spaces by Random Training in Electrodynamics.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 137-148. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_9.
    • Himpe Christian, Leibner Tobias, Rave Stephan, Saak Jens. 2017. ‘Fast Low-Rank Empirical Cross Gramians.’ PAMM 17, No. 1: 841-842. doi: 10.1002/pamm.201710388.
    • Ohlberger M, Rave S. 2017. ‘Localized Reduced Basis Approximation of a Nonlinear Finite Volume Battery Model with Resolved Electrode Geometry.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 201-212. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_13.
    • Ohlberger M, Rave S, Schindler F. 2017. ‘True Error Control for the Localized Reduced Basis Method for Parabolic Problems.’ In Model Reduction of Parametrized Systems, edited by Benner P., Ohlberger M., Patera A., Rozza G., Urban K., 169-182. Cham: Springer International Publishing. doi: 10.1007/978-3-319-58786-8_11.

    2016

    • Milk R, Rave S, Schindler F. 2016. ‘pyMOR - Generic algorithms and interfaces for model order reduction.’ SIAM Journal on Scientific Computing 38, No. 5: 194-216. doi: 10.1137/15M1026614.
    • Ohlberger M, Rave S. 2016. ‘Reduced Basis Methods: Success, Limitations and Future Challenges.’ In roceedings of ALGORITMY 2016, 20th Conference on Scientific Computing, Vysoke Tatry, Podbanske, Slovakia, March 13-18, 2016, edited by A. Handlovičova and D. Sevčovič, 1-12. Bratislava: Publishing House of Slovak University of Technology in Bratislava.
    • Ohlberger M, Rave S, Schindler F. 2016. ‘Model Reduction for Multiscale Lithium-Ion Battery Simulation.’ In Numerical Mathematics and Advanced Applications ENUMATH 2015, edited by Karasözen B, Manguoğlu M, Teuer-Sezgin M, Göktepe S, Uğur Ö, 317-331.: Springer. doi: 10.1007/978-3-319-39929-4_31.
    • Ohlberger M, Rave S, Schindler F. 2016. ‘Adaptive Localized Model Reduction.’ Oberwolfach Reports 13, No. 3: 2406-2409. doi: 10.4171/OWR/2016/42.

    2014

    • Buhr A, Engwer C, Ohlberger M, Rave S. 2014. ‘A Numerically Stable A Posteriori Error Estimator for Reduced Basis Approximations of Elliptic Equations.’ In 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014, edited by E. Onate XO, Huerta A, 4094-4102.: CIMNE, Barcelona.
    • Ohlberger M, Rave S, Schmidt S, Zhang S. 2014. ‘A Model Reduction Framework for Efficient Simulation of Li-Ion Batteries.’ In Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems, edited by Fuhrmann J, Ohlberger M, Rohde C, 695-702.: Springer. doi: 10.1007/978-3-319-05591-6_69.

    2013

    • Ohlberger M, Rave S. 2013. ‘Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing.’ C. R. Acad. Sci. Paris, Ser. I 351: 901-906. doi: 10.1016/j.crma.2013.10.028.

    2012

    • Rave S. 2012. On Finitely Summable K-Homology Doctoral Thesis, Universität Münster.

    2007

    • Rave S. 2007. Über die Entscheidbarkeit gewisser Prädikate in der Theorie der C*-Algebren. Münster.
  • Talks

    2020
    • Adaptive Reduced Basis Domain Decomposition Methods (talk) pdf
      DD26 - 26th International Domain Decomposition Conference – December 2020
    2019
    • Adaptive Localized Reduced Basis Methods (talk) pdf
      ENUMATH 2019 - European Numerical Mathematics and Advanced Applications Conference – October 2019
    • Reduced Order Modeling of a Free Boundary Osmotic Cell Swelling Problem with Mass Conservation (talk) pdf
      ENUMATH 2019 - European Numerical Mathematics and Advanced Applications Conference – October 2019
    • Localized Reduced Basis Domain Decomposition Methods (talk) pdf
      Swiss Numerics Day 2019 – April 2019
    • POD-DEIM Model Order Reduction for Large Nonlinear Problems (talk) pdf
      Séminaire d'analyse numérique, Université de Genève – April 2019
    • Model Order Reduction for the Masses (talk) pdf
      GAMM Jahrestagung – February 2019
    • POD Model Reduction at Large Scale (talk) pdf
      Kolloquium über Angewandte Mathematik, University of Göttingen – January 2019
    2018
    • Efficient Reduced Order Simulation of Pore-Scale Lithium-Ion Battery Models (talk) pdf
      ECMI 2018 - 20th European Conference on Mathematics for Industry – June 2018
    • Online-Adaptive Localized Reduced Basis Approximation of Parameterized Parabolic Problems (talk) pdf
      MORCOS 2018 - IUTAM Symposium on Model Order Reduction of Coupled Systems – May 2018
    • A Globally Mass Conservative Nonlinear Reduced Basis Method for Parabolic Free Boundary Problems (talk) pdf
      MoRePaS 2018 - Model Reduction of Parametrized Systems IV – April 2018
    • Hierarchical Approximate Proper Orthogonal Decomposition (talk) pdf
      CSC Seminar, MPI Magdeburg – March 2018
    • HAPOD - Fast, Simple and Reliable Distributed POD Computation (talk) pdf
      MATHMOD 2018 - 9th Vienna International Conference on Mathematical Modelling – February 2018
    • Nonlinear Model Order Reduction for Problems with Moving Discontinuities (talk) pdf
      CASA Colloquium, TU Eindhoven – January 2018
    2017
    • MULTIBAT - Reduced Order Modelling of Lithium-Ion Battery Models with Resolved Electrode Geometry (talk) pdf
      ACOMEN 2017 - 7th International Conference on Advanced COmputational Methods in ENgineering – September 2017
    • Hierarchical Approximate POD (talk) pdf
      LMS-EPSRC Durham Symposium – August 2017
    • Model Reduction for Transport Problems via Nonlinear State Space Transformation (talk) pdf
      14th U.S. National Congress on Computational Mechanics – July 2017
    • Model Order Reduction with pyMOR and NGSolve (talk) pdf(Jupyter notebook)
      NGSolve User Meeting – June 2017
    • HAPOD – Fast and Simple Distributed POD Computation (talk) pdf
      GAMM Jahrestagung – March 2017
    • Nonlinear Model Order Reduction with pyMOR (talk) pdf
      SIAM CSE17 - Conference on Computational Science and Engineering – February 2017
    2016
    • Reduced Basis Approximation of Lithium-Ion Battery Models (talk) pdf
      RWTH Aachen – December 2016
    • Nonlinear Model Order Reduction for Parametric Time Evolution Problems using the Method of Freezing (talk) pdf (code)
      7th European Congress of Mathematics – July 2016
    • pyMOR - Generic Model Order Reduction Algorithms for MPI Distributed PDE Solvers (talk) pdf
      PDE Software Frameworks 2016 – July 2016
    • Model Order Reduction for Electrochemistry Simulations (talk) pdf
      Absolventen-Seminar Numerische Mathematik, TU Berlin – June 2016
    • Hierarchical Approximate POD (poster) pdf (code)
      MORML 2016 - Workshop on Data-driven Model Order Reduction and Machine Learning – March 2016
    • Reduced Basis Methods - Success, Limitations and Future Challenges (talk) pdf
      ALGORITMY 2016 - Conference on Scientific Computing – March 2016
    2015
    • Reduced Basis Approximation of Microscale Lithium-Ion Battery Models - From Theory to Implementation (talk) pdf
      SimTech MOR-Seminar, Stuttgart – December 2015
    • A Modularized Modeling, Discretization and Model Order Reduction Workflow (talk) pdf
      MoRePaS 2015 - Model Reduction of Parametrized Systems III – October 2015
    • Reduction of Microscale Li-Ion Battery Models (talk) pdf
      ECCOMAS COUPLED PROBLEMS 2015 – May 2015
    • pyMOR - A New Model Order Reduction Software Framework (talk) pdf
      SIAM CSE15 - Conference on Computational Science and Engineering – March 2015
    • Reduced Basis Methods - From Theory to Implementation (talk) pdf
      KIT, Karlsruhe – January 2015
    2014
    • A Model Reduction Framework for Efficient Simulation of Li-Ion Batteries (poster) pdf
      FVCA7 - The International Symposium of Finite Volumes for Complex Applications VII – June 2014
    • Model Reduction of Microscale Li-Ion Battery Models (talk) pdf
      CeNoS Workshop: Complexity Meets Energy – March 2014
    2013
    • DUNE-pyMOR: Model Order Reduction with Python and Dune (talk) pdf
      Dune User Meeting 2013 – September 2013
    • Nonlinear Reduced Basis Approximation of Parameterized Evolution Equations Using the Method of Freezing (talk) pdf
      Model Reduction and Approximation for Complex Systems – June 2013
    2012
    • Freezing of Evolution Equations for Improved Reduced Basis Approximation (poster) pdf
      MoRePaS II - Second International Workshop on Model Reduction for Parametrized Systems – October 2012
    • Freezing Solutions of Time Evolution Problems for Reduced Basis Approximation (talk) pdf
      Reduced Basis Methods Workshop 2012 – August 2012
  •  

    Teaching

    • Winter Term 2020/21
    • Summer Term 2020
    • Winter Term 2019/20
    • Summer Term 2019
    • Winter Term 2018/19
    • Summer Term 2018
    • Winter Term 2017/18
    • Summer Term 2017
    • Winter Term 2016/17
    • Winter Term 2014/15
    • Summer Term 2014
    • Summer Term 2013
    • Summer Term 2012
    • Summer Term 2010
     

    Winter Term 2020/21

    • Praktikum: Introduction to Numerical Programming with Python [102421]
      (in cooperation with Prof. Dr. Mario Ohlberger)
      [22.03.2021 - 26.03.2021 | 09:00 - 18:00 | Blockveranstaltung (Mo-Fr) | Prof. Dr. Mario Ohlberger]
    • Seminar: MSc Seminar Scientific Computing [102445]
      (in cooperation with Prof. Dr. Christian Engwer)
      [12:00 - 13:00 | wöchentlich | Mi. | Dr. Stephan Rave]
    • Seminar: Master Seminar Applied Mathematics [102423]
      (in cooperation with Prof. Dr. Mario Ohlberger)
      [10.11.2020 | 10:00 - 12:00 | wöchentlich | Di. | Prof. Dr. Mario Ohlberger]

    Summer Term 2020

    • Praktikum: Introduction to Numerical Programming with Python [100389]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Praktikum: Introduction to Numerical Programming with Python [100446]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Seminar: MSc Seminar Scientific Computing [100444]
      (in cooperation with Prof. Dr. Christian Engwer)
    • Seminar: Master Seminar Applied Mathematics [100391]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)
    • Seminar: Bachelorseminar: Innovative numerical methods [100388]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Winter Term 2019/20

    • Praktikum: Introduction to Numerical Programming with Python [108349]
      (in cooperation with Prof. Dr. Mario Ohlberger)

    Summer Term 2019

    • Praktikum: Introduction to Numerical Programming with Python [106380]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Seminar: Masterseminar Random-based algorithms [106385]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Seminar: Masterseminar for Efficient numerical methods [106383]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Winter Term 2018/19

    • Praktikum: Introduction to Numerical Programming with Python [104440]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Praktikum: Introduction to Numerical Programming with Python [100434]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)
    • Seminar: Bachelor Seminar: A posteriori Error Estimations and their Applications [104438]
      (in cooperation with Dr. Felix Tobias Schindler)
    • Seminar: Master Seminar Applied Mathematics [104435]
      (in cooperation with Dr. Felix Tobias Schindler)

    Summer Term 2018

    • Seminar: Master Seminar Applied Mathematics [102385]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)
    • Seminar: Bachelor Seminar: A posteriori Error Estimations and their Applications [102383]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Winter Term 2017/18

    • Praktikum: Introduction to Numerical Programming with Python [100872]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Seminar: Master Seminar Applied Mathematics [100386]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)
    • Seminar: Bachelor Seminar: A posteriori Error Estimations and their Applications [100385]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Summer Term 2017

    • Übung: Tutorial Numerical multiscale methods and model reduction [108038]
      (in cooperation with Prof. Dr. Mario Ohlberger)
    • Praktikum: Introduction to Numerical Programming with Python [108048]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)
    • Praktikum: Introduction to Numerical Programming with Python [108012]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Winter Term 2016/17

    • Übung: Tutorial Scientific Computing [106233]
      (in cooperation with Julia Brunken, Dr. Felix Tobias Schindler)
    • Praktikum: Introduction to Numerical Programming with Python [106227]
    • Vorlesung: Scientific Computing [106232]
      (in cooperation with Dr. Felix Tobias Schindler)

    Winter Term 2014/15

    • Praktikum: Scientific Computing [103870]
      (in cooperation with Dr. Felix Tobias Schindler, Prof. Dr. Mario Ohlberger)

    Summer Term 2014

    • Praktikum: Practical Course: Model Reduction for Partial Differential Equations [102957]
      (in cooperation with René Fritze, Prof. Dr. Mario Ohlberger)
    • V/Ü: Model Order Reduction for Partial Differential Equations [102938]
      (in cooperation with Prof. Dr. Mario Ohlberger)

    Summer Term 2013

    • V/Ü: Model Reduction for Parametrised Partial Differential Equations [100952]
      (in cooperation with Dr. Felix Tobias Schindler)

    Summer Term 2012

    • Praktikum: Introduction to Programming with MATLab [101297]
      (in cooperation with Prof. Dr. Mario Ohlberger)

    Summer Term 2010

    • Übung: Module 7: Analytical Chemistry [100450]
      (in cooperation with apl. Prof. Wend Werner)
  • Software

    pyMOR

    pyMOR

    A modern Python-based model reduction library which can be easily integrated with external PDE solvers   Project Page


    simdb

    simdb

    A simple Python module for the management of simulation datasets   Project Page


  • Contacts

Contact

University of Münster
Angewandte Mathematik Münster

Orléans-Ring 10
48149 Münster

Tel: +49 (0) 251 83-35052
Fax: +49 (0) 251 83-32729
seknum@wwu.de
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