preCICE–a fully parallel library for multi-physics surface coupling HJ Bungartz, F Lindner, B Gatzhammer, M Mehl, K Scheufele, A Shukaev, ... Computers & Fluids 141, 250-258, 2016 | 76 | 2016 |

A comparison of various quasi-Newton schemes for partitioned fluid-structure interaction F Lindner, M Mehl, K Scheufele, B Uekermann Proceedings of 6th International Conference on Computational Methods for …, 2015 | 20 | 2015 |

Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering R Haelterman, AEJ Bogaers, K Scheufele, B Uekermann, M Mehl Computers & Structures 171, 9-17, 2016 | 18 | 2016 |

A framework for scalable biophysics-based image analysis A Gholami, A Mang, K Scheufele, C Davatzikos, M Mehl, G Biros Proceedings of the International Conference for High Performance Computing …, 2017 | 11 | 2017 |

Partitioned fluid–structure–acoustics interaction on distributed data: Coupling via precice HJ Bungartz, F Lindner, M Mehl, K Scheufele, A Shukaev, B Uekermann Software for Exascale Computing-SPPEXA 2013-2015, 239-266, 2016 | 10 | 2016 |

SIBIA-GlS: Scalable biophysics-based image analysis for glioma segmentation A Mang, S Tharakan, A Gholami, N Nimthani, S Subramanian, J Levitt, ... The multimodal brain tumor image segmentation benchmark (BRATS), MICCAI, 2017 | 8 | 2017 |

Coupling brain-tumor biophysical models and diffeomorphic image registration K Scheufele, A Mang, A Gholami, C Davatzikos, G Biros, M Mehl Computer Methods in Applied Mechanics and Engineering 347, 533-567, 2019 | 7 | 2019 |

Robust Quasi-Newton methods for partitioned fluid-structure simulations K Scheufele | 6 | 2015 |

Coupling schemes and inexact Newton for multi-physics and coupled optimization problems K Scheufele | 5 | 2018 |

Robust Multisecant Quasi-Newton Variants for Parallel Fluid-Structure Simulations---and Other Multiphysics Applications K Scheufele, M Mehl SIAM Journal on Scientific Computing 39 (5), S404-S433, 2017 | 4 | 2017 |

A Review on Fast Quasi-Newton and Accelerated Fixed-Point Iterations for Partitioned Fluid–Structure Interaction Simulation D Blom, F Lindner, M Mehl, K Scheufele, B Uekermann, A van Zuijlen Advances in Computational Fluid-Structure Interaction and Flow Simulation …, 2016 | 3 | 2016 |

Where did the tumor start? An inverse solver with sparse localization for tumor growth models S Subramanian, K Scheufele, M Mehl, G Biros Inverse Problems 36 (4), 045006, 2020 | 2 | 2020 |

Simulating the interaction of electrostatically charged particles in the inflow area of cabin air filters using a fully coupled system C Schober, D Keerl, M Lehmann, M Mehl Proceedings of the VII International Conference on Coupled Problems in …, 2017 | 2 | 2017 |

Robust Quasi-Newton Methods for Partitioned FSI Simulations K Scheufele, M Mehl, F Lindner, B Uekermann WCCM, 2016 | 2 | 2016 |

Additional results for the article:“Improving the performance of the partitioned QNILS procedure for fluid-structure interaction problems: filtering” R Haelterman, A Bogaers, B Uekermann, K Scheufele, M Mehl Available as Appendix A, 0 | 2 | |

Robuste Multilevel-Lösung elliptischer partieller Differentialgleichungen mit springenden Koeffizienten K Scheufele | 1 | 2013 |

Automatic MRI-Driven Model Calibration for Advanced Brain Tumor Progression Analysis K Scheufele, S Subramanian, G Biros arXiv, arXiv: 2001.09173, 2020 | | 2020 |

Image-Driven Biophysical Tumor Growth Model Calibration K Scheufele, S Subramanian, A Mang, G Biros, M Mehl arXiv preprint arXiv:1907.07774, 2019 | | 2019 |

the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering R Haelterman, AEJ Bogaers, K Scheufele, B Uekermann, M Mehl | | 2016 |

Black-Box Coupling Algorithms for Fluid-Structure Interaction F Lindner, M Mehl, K Scheufele, B Uekermann | | 2015 |