Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem. - Patrick Buchfink; Bernard Haasdonk (ENUMATH, 2019)

Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. - Shahnewaz Shuva; Patrick Buchfink; Oliver Röhrle; Bernard Haasdonk (LSSC, 2021)

Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. - Patrick Buchfink; Silke Glas; Bernard Haasdonk (CoRR, 2021)

Surrogate-data-enriched Physics-Aware Neural Networks. - Raphael Leiteritz; Patrick Buchfink; Bernard Haasdonk; Dirk Pflüger (NLDL, 2022)

Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. - Johannes Rettberg; Dominik Wittwar; Patrick Buchfink; Alexander Brauchler; Pascal Ziegler; Jörg Fehr; Bernard Haasdonk (CoRR, 2022)

Randomized Symplectic Model Order Reduction for Hamiltonian Systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk; Johannes Rettberg; Jörg Fehr (LSSC, 2023)

Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. - Harsh Sharma; Hongliang Mu; Patrick Buchfink; Rudy Geelen; Silke Glas; Boris Kramer (CoRR, 2023)

Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. - Patrick Buchfink; Silke Glas; Bernard Haasdonk (CoRR, 2023)

Model Reduction on Manifolds: A differential geometric framework. - Patrick Buchfink; Silke Glas; Bernard Haasdonk; Benjamin Unger (CoRR, 2023)

Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds and Approximation with Weakly Symplectic Autoencoder. - Patrick Buchfink; Silke Glas; Bernard Haasdonk (SIAM J. Sci. Comput., 2023)

Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk; Johannes Rettberg; Jörg Fehr (CoRR, 2024)

Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. - Robin Herkert; Patrick Buchfink; Tizian Wenzel; Bernard Haasdonk; Pavel Toktaliev; Oleg Iliev 001 (CoRR, 2024)

Data-driven identification of latent port-Hamiltonian systems. - Johannes Rettberg; Jonas Kneifl; Julius Herb; Patrick Buchfink; Jörg Fehr; Bernard Haasdonk (CoRR, 2024)

Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems. - Robin Herkert; Patrick Buchfink; Bernard Haasdonk (Adv. Comput. Math., 2024)

Improved a posteriori error bounds for reduced port-Hamiltonian systems. - Johannes Rettberg; Dominik Wittwar; Patrick Buchfink; Robin Herkert; Jörg Fehr; Bernard Haasdonk (Adv. Comput. Math., 2024)

Energy-stable Port-Hamiltonian Systems. - Patrick Buchfink; Silke Glas; Hans Zwart (CoRR, 2025)