State Trajectory Compression for Optimal Control with Parabolic PDEs. - Martin Weiser; Sebastian Götschel (SIAM J. Sci. Comput., 2012)

Lossy Compression in Optimal Control of Cardiac Defibrillation. - Sebastian Götschel; Chamakuri Nagaiah; Karl Kunisch; Martin Weiser (J. Sci. Comput., 2014)

Lossy compression for PDE-constrained optimization: adaptive error control. - Sebastian Götschel; Martin Weiser (Comput. Optim. Appl., 2015)

Lossy data compression reduces communication time in hybrid time-parallel integrators. - Lisa Fischer; Sebastian Götschel; Martin Weiser (Comput. Vis. Sci., 2018)

Compression Challenges in Large Scale Partial Differential Equation Solvers. - Sebastian Götschel; Martin Weiser (Algorithms, 2019)

Lossy Compression for Large Scale PDE Problems. - Sebastian Götschel; Martin Weiser (CoRR, 2019)

An Efficient Parallel-in-Time Method for Optimization with Parabolic PDEs. - Sebastian Götschel; Michael L. Minion (SIAM J. Sci. Comput., 2019)

Kaskade 7 - A flexible finite element toolbox. - Sebastian Götschel; Anton Schiela; Martin Weiser (Comput. Math. Appl., 2021)

Twelve Ways To Fool The Masses When Giving Parallel-In-Time Results. - Sebastian Götschel; Michael L. Minion; Daniel Ruprecht; Robert Speck (CoRR, 2021)

Impact of spatial coarsening on Parareal convergence. - Judith Angel; Sebastian Götschel; Daniel Ruprecht (CoRR, 2021)

Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging. - Dimitre Hristov; Lauri Mustonen; Rie von Eyben; Sebastian Götschel; Michael L. Minion; Ahmed El Kaffas (IEEE Trans. Medical Imaging, 2022)

Parareal with a Physics-Informed Neural Network as Coarse Propagator. - Abdul Qadir Ibrahim; Sebastian Götschel; Daniel Ruprecht (Euro-Par, 2023)

Adaptive time step selection for Spectral Deferred Corrections. - Thomas Baumann; Sebastian Götschel; Thibaut Lunet; Daniel Ruprecht; Robert Speck (CoRR, 2024)

Parallel performance of shared memory parallel spectral deferred corrections. - Philip Freese; Sebastian Götschel; Thibaut Lunet; Daniel Ruprecht; Martin Schreiber 001 (CoRR, 2024)

Space-time parallel scaling of Parareal with a Fourier Neural Operator as coarse propagator. - Abdul Qadir Ibrahim; Sebastian Götschel; Daniel Ruprecht (CoRR, 2024)

Bathymetry reconstruction from experimental data using PDE-constrained optimisation. - Judith Angel; Jörn Behrens; Sebastian Götschel; Marten Hollm; Daniel Ruprecht; Robert Seifried (CoRR, 2024)

Resilience Against Soft Faults through Adaptivity in Spectral Deferred Correction. - Thomas Baumann; Sebastian Götschel; Thibaut Lunet; Daniel Ruprecht; Robert Speck (CoRR, 2024)

Spectral Deferred Correction Methods for Second-Order Problems. - Ikrom Akramov; Sebastian Götschel; Michael L. Minion; Daniel Ruprecht; Robert Speck (SIAM J. Sci. Comput., 2024)

Space-Time Parallel Scaling of Parareal with a Physics-Informed Fourier Neural Operator Coarse Propagator Applied to the Black-Scholes Equation. - Abdul Qadir Ibrahim; Sebastian Götschel; Daniel Ruprecht (PASC, 2025)

Dynamic deep learning based super-resolution for the shallow water equations. - Maximilian Witte; Fabricio Rodrigues Lapolli; Philip Freese; Sebastian Götschel; Daniel Ruprecht; Peter Korn; Christopher Kadow (Mach. Learn. Sci. Technol., 2025)

Improving Efficiency of Parallel Across the Method Spectral Deferred Corrections. - Gayatri Caklovic; Thibaut Lunet; Sebastian Götschel; Daniel Ruprecht (SIAM J. Sci. Comput., 2025)