Klaudius Scheufele
Klaudius Scheufele
University of Texas at Austin
Verified email at ipvs.uni-stuttgart.de
Cited by
Cited by
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
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
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
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
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
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
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
Robust Quasi-Newton methods for partitioned fluid-structure simulations
K Scheufele
Coupling schemes and inexact Newton for multi-physics and coupled optimization problems
K Scheufele
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
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
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
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
Robust Quasi-Newton Methods for Partitioned FSI Simulations
K Scheufele, M Mehl, F Lindner, B Uekermann
WCCM, 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
Robuste Multilevel-Lösung elliptischer partieller Differentialgleichungen mit springenden Koeffizienten
K Scheufele
Automatic MRI-Driven Model Calibration for Advanced Brain Tumor Progression Analysis
K Scheufele, S Subramanian, G Biros
arXiv, arXiv: 2001.09173, 2020
Image-Driven Biophysical Tumor Growth Model Calibration
K Scheufele, S Subramanian, A Mang, G Biros, M Mehl
arXiv preprint arXiv:1907.07774, 2019
the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering
R Haelterman, AEJ Bogaers, K Scheufele, B Uekermann, M Mehl
Black-Box Coupling Algorithms for Fluid-Structure Interaction
F Lindner, M Mehl, K Scheufele, B Uekermann
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