A family of energy stable, skew-symmetric finite difference schemes on collocated grids. - Julius Reiss (CoRR, 2014)

A Family of Energy Stable, Skew-Symmetric Finite Difference Schemes on Collocated Grids - A Simple Way to Avoid Odd-Even Decoupling. - Julius Reiss (J. Sci. Comput., 2015)

The Shifted Proper Orthogonal Decomposition: A Mode Decomposition for Multiple Transport Phenomena. - Julius Reiss; Philipp Schulze; Jörn Sesterhenn; Volker Mehrmann (SIAM J. Sci. Comput., 2018)

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

A 3D wavelet-based incompressible Navier-Stokes solver for fully adaptive computations in time-varying geometries. - Thomas Engels; Kai Schneider; Julius Reiss; Marie Farge (CoRR, 2019)

Finite-difference-based simulation and adjoint optimization of gas networks. - Sonja Hossbach; Mathias Lemke; Julius Reiss (CoRR, 2020)

A "DIY" data acquisition system for acoustic field measurements under harsh conditions. - Steffen Büchholz; Mathias Lemke; Julius Reiss; Jörn Sesterhenn (CoRR, 2020)

Optimization-Based Modal Decomposition for Systems with Multiple Transports. - Julius Reiss (SIAM J. Sci. Comput., 2021)

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

Pressure-Tight and Non-stiff Volume Penalization for Compressible Flows. - Julius Reiss (J. Sci. Comput., 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)

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

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)