Patrick Buchfink

According to our database, Patrick Buchfink authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 2024

Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems.

Robin Herkert, Patrick Buchfink, Bernard Haasdonk

Adv. Comput. Math., February, 2024

Data-driven identification of latent port-Hamiltonian systems.

Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, Bernard Haasdonk

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

CoRR, 2024

Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems.

Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr

CoRR, 2024

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., April, 2023

Model Reduction on Manifolds: A differential geometric framework.

Patrick Buchfink, Silke Glas, Bernard Haasdonk, Benjamin Unger

CoRR, 2023

Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds.

Patrick Buchfink, Silke Glas, Bernard Haasdonk

CoRR, 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

Randomized Symplectic Model Order Reduction for Hamiltonian Systems.

Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr

Proceedings of the Large-Scale Scientific Computations - 14th International Conference, 2023

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

Surrogate-data-enriched Physics-Aware Neural Networks.

Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

2021

Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds.

Patrick Buchfink, Silke Glas, Bernard Haasdonk

CoRR, 2021

Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue.

Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2019

Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem.

Patrick Buchfink, Bernard Haasdonk

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019