Patrick Buchfink

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Computational Models

Differential Geometric

Top Venues

Adv. Comput. Math.

Publications

Robin Herkert, Patrick Buchfink, Bernard Haasdonk
Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems. Adv. Comput. Math. 50 (1) (2024)
Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems. CoRR (2024)
Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev
Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. CoRR (2024)
Robin Herkert, Patrick Buchfink, Bernard Haasdonk
Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems. CoRR (2023)
Patrick Buchfink, Silke Glas, Bernard Haasdonk
Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. CoRR (2023)
Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer
Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR (2023)
Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
Randomized Symplectic Model Order Reduction for Hamiltonian Systems. CoRR (2023)
Patrick Buchfink, Silke Glas, Bernard Haasdonk
Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds and Approximation with Weakly Symplectic Autoencoder. SIAM J. Sci. Comput. 45 (2) (2023)
Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
Randomized Symplectic Model Order Reduction for Hamiltonian Systems. LSSC (2023)
Patrick Buchfink, Silke Glas, Bernard Haasdonk, Benjamin Unger
Model Reduction on Manifolds: A differential geometric framework. CoRR (2023)
Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert, Jörg Fehr, Bernard Haasdonk
Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems. CoRR (2023)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. NLDL (2022)
Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Alexander Brauchler, Pascal Ziegler, Jörg Fehr, Bernard Haasdonk
Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. CoRR (2022)
Patrick Buchfink, Silke Glas, Bernard Haasdonk
Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. CoRR (2021)
Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk
Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. CoRR (2021)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. CoRR (2021)
Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk
Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. LSSC (2021)
Patrick Buchfink, Bernard Haasdonk
Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem. ENUMATH (2019)