Einfluss von Schnittstellenmodellierungen bei der Reduktion elastischer Mehrkörpersysteme. - Christine Nowakowski; Jörg Fehr; Peter Eberhard (Autom., 2011)

Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction. - Dennis Grunert; Jörg Fehr (Adv. Model. Simul. Eng. Sci., 2016)

Erratum to: Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction. - Dennis Grunert; Jörg Fehr (Adv. Model. Simul. Eng. Sci., 2016)

Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software. - Jörg Fehr; Jan Heiland; Christian Himpe; Jens Saak (CoRR, 2016)

Sustainable Research Software Hand-Over. - Jörg Fehr; Christian Himpe; Stephan Rave; Jens Saak (CoRR, 2019)

Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators. - Jonas Nicodemus; Jonas Kneifl; Jörg Fehr; Benjamin Unger (CoRR, 2021)

Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme. - Jonas Kneifl; Julian Hay; Jörg Fehr (CoRR, 2021)

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)

Identification of Friction Models for MPC-based Control of a PowerCube Serial Robot. - Jörg Fehr; Arnim Kargl; Hannes Eschmann (CoRR, 2022)

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

Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction. - Jonas Kneifl; David Rosin; Oliver Röhrle; Jörg Fehr (CoRR, 2023)

Application of data-driven surrogate models for active human model response prediction and restraint system optimization. - Julian Hay; Lars Schories; Eric Bayerschen; Peter Kai Wimmer; Oliver Zehbe; Stefan Kirschbichler; Jörg Fehr (Frontiers Appl. Math. Stat., 2023)

Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks. - Jonas Kneifl; Jörg Fehr; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

On using Machine Learning Algorithms for Motorcycle Collision Detection. - Philipp Rodegast; Steffen Maier; Jonas Kneifl; Jörg Fehr (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)

VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification. - Paolo Conti; Jonas Kneifl; Andrea Manzoni; Attilio Frangi; Jörg Fehr; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

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

Towards Using Active Learning Methods for Human-Seat Interactions To Generate Realistic Occupant Motion. - Niklas Fahse; Monika Harant; Marius Obentheuer; Joachim Linn; Jörg Fehr (CoRR, 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)

Offline and Online Energy Simulation using Virtual Commissioning Models with Extended Dynamical Behavior. - Darius Deubert; Denis Pfeifer; Christian Scheifele; Jörg Fehr; Alexander Verl (SII, 2025)