| SU (3) Yang Mills theory at small distances and fine lattices N Husung, M Koren, P Krah, R Sommer EPJ Web of Conferences 175, 14024, 2018 | 28 | 2018 |
| Wavelet adaptive proper orthogonal decomposition for large-scale flow data P Krah, T Engels, K Schneider, J Reiss Adv Comput Math 48 (10), 40, 2022 | 12 | 2022 |
| Model order reduction of combustion processes with complex front dynamics P Krah, M Sroka, J Reiss Numerical Mathematics and Advanced Applications ENUMATH 2019: European …, 2020 | 12 | 2020 |
| An open and parallel multiresolution framework using block-based adaptive grids M Sroka, T Engels, P Krah, S Mutzel, K Schneider, J Reiss Active Flow and Combustion Control 2018: Papers Contributed to the …, 2019 | 11 | 2019 |
| Front Transport Reduction for Complex Moving Fronts: Nonlinear Model Reduction for an Advection–Reaction–Diffusion Equation with a Kolmogorov–Petrovsky–Piskunov Reaction Term P Krah, S Büchholz, M Häringer, J Reiss Journal of scientific computing 96 (1), 28, 2023 | 8* | 2023 |
| Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank … J Koellermeier, P Krah, J Kusch arXiv preprint arXiv:2302.01391, 2023 | 8 | 2023 |
| SHIFTED PROPER ORTHOGONAL DECOMPOSITION AND ARTIFICIAL NEURAL NETWORKS FOR TIME-CONTINUOUS REDUCED ORDER MODELS OF TRANSPORT-DOMINATED SYSTEMS A Kovárnová, P Krah, J Reiss, M Isoz Topical Problems of Fluid Mechanics 2022, 2022, 1, 2022 | 7 | 2022 |
| Crystalline phases at finite winding densities in a quantum link ladder P Stornati, P Krah, K Jansen, D Banerjee Physical Review D 107 (3), L031504, 2023 | 3 | 2023 |
| Parametric model order reduction for a wildland fire model via the shifted POD based deep learning method S Burela, P Krah, J Reiss arXiv preprint arXiv:2304.14872, 2023 | 2 | 2023 |
| Non-linear reduced order modeling for transport dominated fuid systems PL Krah | 2 | 2023 |
| Data-driven reduced order modeling for flows with moving geometries using shifted POD P Krah, M Goldack, T Engels, K Schneider, J Reiss 10th Vienna International Conference on Mathematical Modelling,(MATHMOD 2022), 2022 | 2 | 2022 |
| Phases at finite winding number of an Abelian lattice gauge theory P Stornati, D Banerjee, K Jansen, P Krah arXiv preprint arXiv:2111.09364, 2021 | 2 | 2021 |
| Model order reduction for the 1D Boltzmann-BGK equation: identifying intrinsic variables using neural networks J Koellermeier, P Krah, J Reiss, Z Schellin Microfluidics and Nanofluidics 28 (3), 16, 2024 | 1 | 2024 |
| A characteristic mapping method for Vlasov-Poisson with extreme resolution properties P Krah, XY Yin, J Bergmann, JC Nave, K Schneider arXiv preprint arXiv:2311.09379, 2023 | 1 | 2023 |
| Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions H Sallandt, P Krah, M Lemke arXiv preprint arXiv:2112.07349, 2021 | 1 | 2021 |
| A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports P Krah, A Marmin, B Zorawski, J Reiss, K Schneider arXiv preprint arXiv:2403.04313, 2024 | | 2024 |
| Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks Z Lin, T Maurel-Oujia, B Kadoch, P Krah, N Saura, S Benkadda, ... Physics of Plasmas 31 (3), 2024 | | 2024 |
| Dynamical low rank approximation and parametric reduced order models for shallow water moment equations J Koellermeier, P Krah, J Kusch | | |
Julius ReissGastprofessor/visting professorVerified email at tnt.tu-berlin.de
