Model Order Reduction of Combustion Processes with Complex Front Dynamics. - Philipp Krah; Mario Sroka; Julius Reiss (ENUMATH, 2019)

Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions. - Henry Sallandt; Philipp Krah; Mathias Lemke (CoRR, 2021)

Wavelet adaptive proper orthogonal decomposition for large-scale flow data. - Philipp Krah; Thomas Engels; Kai Schneider; Julius Reiss (Adv. Comput. Math., 2022)

Model Order Reduction for the 1D Boltzmann-BGK Equation: Identifying Intrinsic Variables Using Neural Networks. - Julian Koellermeier; Philipp Krah; Julius Reiss; Zachary Schellin (CoRR, 2023)

A Characteristic Mapping Method for Vlasov-Poisson with Extreme Resolution Properties. - Philipp Krah; Xi-Yuan Yin; Julius Bergmann; Jean-Christophe Nave; Kai Schneider (CoRR, 2023)

Front Transport Reduction for Complex Moving Fronts. - Philipp Krah; Steffen Büchholz; Matthias Häringer; Julius Reiss (J. Sci. Comput., 2023)

Automated transport separation using the neural shifted proper orthogonal decomposition. - Beata Zorawski; Shubhaditya Burela; Philipp Krah; Arthur Marmin; Kai Schneider (CoRR, 2024)

A Characteristic Mapping Method with Source Terms: Applications to Ideal Magnetohydrodynamics. - Xi-Yuan Yin; Philipp Krah; Jean-Christophe Nave; Kai Schneider (CoRR, 2024)

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. - Julian Koellermeier; Philipp Krah; Jonas Kusch (Adv. Comput. Math., 2024)

A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports. - Philipp Krah; Arthur Marmin; Beata Zorawski; Julius Reiss; Kai Schneider (SIAM J. Sci. Comput., 2025)

Parametric model order reduction for a wildland fire model via the shifted POD-based deep learning method. - Shubhaditya Burela; Philipp Krah; Julius Reiss (Adv. Comput. Math., 2025)