| Solving Optimal Control Problems with the Kaskade 7 Finite Element Toolbox S Götschel, M Weiser, A Schiela Advances in DUNE: Proceedings of the DUNE User Meeting, Held in October 6th …, 2012 | 41 | 2012 |
| An efficient parallel-in-time method for optimization with parabolic PDEs S Gotschel, ML Minion SIAM Journal on Scientific Computing 41 (6), C603-C626, 2019 | 26 | 2019 |
| State trajectory compression for optimal control with parabolic PDEs M Weiser, S Götschel SIAM Journal on Scientific Computing 34 (1), A161-A184, 2012 | 23 | 2012 |
| Kaskade 7—A flexible finite element toolbox S Götschel, A Schiela, M Weiser Computers & Mathematics with Applications 81, 444-458, 2021 | 19 | 2021 |
| Parallel-in-time for parabolic optimal control problems using PFASST S Götschel, ML Minion Domain Decomposition Methods in Science and Engineering XXIV 24, 363-371, 2018 | 18 | 2018 |
| Lossy compression for PDE-constrained optimization: adaptive error control S Götschel, M Weiser Computational Optimization and Applications 62 (1), 131-155, 2015 | 18 | 2015 |
| Reducing memory requirements in scientific computing and optimal control S Götschel, C von Tycowicz, K Polthier, M Weiser Multiple Shooting and Time Domain Decomposition Methods: MuS-TDD, Heidelberg …, 2015 | 14 | 2015 |
| Lossy compression in optimal control of cardiac defibrillation S Götschel, N Chamakuri, K Kunisch, M Weiser Journal of Scientific Computing 60 (1), 35-59, 2013 | 14 | 2013 |
| Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation MC Weber, L Fischer, A Damerau, I Ponomarev, M Pfeiffenberger, ... Biofabrication 12 (4), 045016, 2020 | 13 | 2020 |
| Twelve ways to fool the masses when giving parallel-in-time results S Götschel, M Minion, D Ruprecht, R Speck Workshops on Parallel-in-Time Integration, 81-94, 2020 | 12 | 2020 |
| Lossy data compression reduces communication time in hybrid time-parallel integrators L Fischer, S Götschel, M Weiser Computing and Visualization in Science 19, 19-30, 2018 | 9 | 2018 |
| Parareal with a physics-informed neural network as coarse propagator AQ Ibrahim, S Götschel, D Ruprecht European Conference on Parallel Processing, 649-663, 2023 | 8 | 2023 |
| Compression challenges in large scale partial differential equation solvers S Götschel, M Weiser Algorithms 12 (9), 197, 2019 | 5 | 2019 |
| Determining the material parameters for the reconstruction of defects in carbon fiber reinforced polymers from data measured by flash thermography JP Müller, S Götschel, C Maierhofer, M Weiser AIP Conference Proceedings 1806 (1), 2017 | 5 | 2017 |
| Fast defect shape reconstruction in travel time pulsed thermography S Götschel, M Weiser, C Maierhofer, R Richter, M Röllig Nondestructive testing of materials and structures, 2012 | 5* | 2012 |
| Data Enhancement for Active Thermography S Götschel, M Weiser, C Maierhofer, R Richter | 5 | 2012 |
| Quantitative defect reconstruction in active thermography for fiber-reinforced composites S Götschel, C Maierhofer, JP Müller, N Rothbart, M Weiser | 4 | 2016 |
| Adaptive lossy trajectory compression for optimal control of parabolic pdes S Götschel | 4 | 2015 |
| In vitro and in silico modeling of cellular and matrix-related changes during the early phase of osteoarthritis MC Weber, L Fischer, A Damerau, I Ponomarev, M Pfeiffenberger, ... BioRxiv, 725317, 2019 | 3 | 2019 |
| Lossy Compression for Large Scale PDE Problems S Götschel, M Weiser | 3 | 2019 |
Martin WeiserZuse Institute Berlin在 zib.de 的电子邮件经过验证
