Philipp Krah

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Hybrid semi-Lagrangian Flow Mapping Approach for Vlasov Systems: Combining Iterative and Compositional Flow Maps.
CoRR
Philipp Krah, Zetao Lin, Rostislav-Paul Wilhelm, Fabio Bacchini, Jean-Christophe Nave, Virginie Grandgirard, Kai Schneider
2026 J jnl
A characteristic mapping method with source terms: Applications to ideal magnetohydrodynamics.
J. Comput. Phys.
Xi-Yuan Yin, Philipp Krah, Jean-Christophe Nave, Kai Schneider
2025 J jnl
A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports.
SIAM J. Sci. Comput.
Philipp Krah, Arthur Marmin, Beata Zorawski, Julius Reiss, Kai Schneider
2025 J jnl
Gyselalib++: A Portable C++ Library for Semi-Lagrangian Kinetic and Gyrokinetic Simulations.
J. Open Source Softw.
Emily Bourne, Virginie Grandgirard, Yuuichi Asahi, Julien Bigot, Peter Donnel, Alexander Hoffmann, Abdelhadi Kara, Philipp Krah, Baptiste Legouix, Etienne Malaboeuf, Yann Munschy, Kevin Obrejan, Thomas Padioleau, Matthieu Protais, Pauline Vidal
2025 J jnl
Intrinsic Dimension Estimating Autoencoder (IDEA) Using CancelOut Layer and a Projected Loss.
CoRR
Antoine Oriou, Philipp Krah, Julian Koellermeier
2025 J jnl
Parametric model order reduction for a wildland fire model via the shifted POD-based deep learning method.
Adv. Comput. Math.
Shubhaditya Burela, Philipp Krah, Julius Reiss
2024 J jnl
A Characteristic Mapping Method with Source Terms: Applications to Ideal Magnetohydrodynamics.
CoRR
Xi-Yuan Yin, Philipp Krah, Jean-Christophe Nave, Kai Schneider
2024 J jnl
A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports.
CoRR
Philipp Krah, Arthur Marmin, Beata Zorawski, Julius Reiss, Kai Schneider
2024 J jnl
Automated transport separation using the neural shifted proper orthogonal decomposition.
CoRR
Beata Zorawski, Shubhaditya Burela, Philipp Krah, Arthur Marmin, Kai Schneider
2024 J jnl
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 approximation.
Adv. Comput. Math.
Julian Koellermeier, Philipp Krah, Jonas Kusch
2023 J jnl
A Characteristic Mapping Method for Vlasov-Poisson with Extreme Resolution Properties.
CoRR
Philipp Krah, Xi-Yuan Yin, Julius Bergmann, Jean-Christophe Nave, Kai Schneider
2023 J jnl
Front Transport Reduction for Complex Moving Fronts.
J. Sci. Comput.
Philipp Krah, Steffen Büchholz, Matthias Häringer, Julius Reiss
2023 J jnl
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 approximation.
CoRR
Julian Koellermeier, Philipp Krah, Jonas Kusch
2023 J jnl
Model Order Reduction for the 1D Boltzmann-BGK Equation: Identifying Intrinsic Variables Using Neural Networks.
CoRR
Julian Koellermeier, Philipp Krah, Julius Reiss, Zachary Schellin
2023 J jnl
Parametric model order reduction for a wildland fire model via the shifted POD based deep learning method.
CoRR
Shubhaditya Burela, Philipp Krah, Julius Reiss
2022 J jnl
Front Transport Reduction for Complex Moving Fronts.
CoRR
Philipp Krah, Steffen Büchholz, Matthias Häringer, Julius Reiss
2022 J jnl
Wavelet adaptive proper orthogonal decomposition for large-scale flow data.
Adv. Comput. Math.
Philipp Krah, Thomas Engels, Kai Schneider, Julius Reiss
2021 J jnl
Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions.
CoRR
Henry Sallandt, Philipp Krah, Mathias Lemke
2020 J jnl
Wavelet Adaptive Proper Orthogonal Decomposition for Large Scale Flow Data.
CoRR
Philipp Krah, Thomas Engels, Kai Schneider, Julius Reiss
2019 — conf
Model Order Reduction of Combustion Processes with Complex Front Dynamics.
ENUMATH
Philipp Krah, Mario Sroka, Julius Reiss
2019 J jnl
Model Order Reduction of Combustion Processes with Complex Front Dynamics.
CoRR
Philipp Krah, Mario Sroka, Julius Reiss