Publications

Gia Huy Mike Huynh, Niklas Fahse, Jonas Kneifl, Joachim Linn, and Jörg Fehr. Multi-Fidelity Surrogate Model for Representing Hierarchical and Conflicting Databases to Approximate Human-Seat Interaction. IFAC-PapersOnLine, (59)1:337–342, Elsevier BV, 2025. [PUMA: EXC2075 PN7 PN7-6(II) inReview] URL

Philipp Rodegast, Steffen Maier, Jonas Kneifl, and Jörg Fehr. On using machine learning algorithms for motorcycle collision detection. Discover Applied Sciences, (6)6:326, 2024. [PUMA: PN7-6(II) PN7-6 EXC2075] URL

Jonas Kneifl, David Rosin, Okan Avci, Oliver Röhrle, and Jörg Fehr. Low-dimensional data-based surrogate model of a continuum-mechanical musculoskeletal system based on non-intrusive model order reduction. Archive of Applied Mechanics, (93)9:3637--3663, 2023. [PUMA: PN7-6(II) PN7 PN7-6] URL

Matthew Millard, Norman Stutzig, Jörg Fehr, and Tobias Siebert. A benchmark of muscle models to length changes great and small. Journal of the Mechanical Behavior of Biomedical Materials, (160):106740, Elsevier BV, December 2024. [PUMA: EXC2075 PN7-6(II) PNX curated] URL

Anika Strauß, Jonas Kneifl, Anton Tkachuk, Jörg Fehr, and Manfred Bischoff. Accelerated Non‐linear Stability Analysis Based on Predictions From Data‐Based Surrogate Models. International Journal for Numerical Methods in Engineering, (126)1Wiley, December 2024. [PUMA: EXC2075 PN3 PN3-2(II) PN7 PN7-6(II) curated] URL

Jonas Kneifl, Jörg Fehr, Steven L. Brunton, and J. Nathan Kutz. Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks. Computational Mechanics, Oct 5, 2024. [PUMA: curated PN7-6(II) PN7 PN7-6 EXC2075] URL

Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, and Bernard Haasdonk. Data-driven identification of latent port-Hamiltonian systems. 2024. [PUMA: EXC2075 PN3 PN3A-8 PN7 PN7-6(II) curated] URL

Jonas Kneifl, and Paolo Conti. VENI-VINDy-VICI: 0.1.7. Zenodo, 2024. [PUMA: EXC2075 PN7 PN7-6(II) curated] URL

Philipp Rodegast, Steffen Maier, Jonas Kneifl, and Jörg Fehr. On using machine learning algorithms for motorcycle collision detection. Discover Applied Sciences, (6)6:326, Jun 13, 2024. [PUMA: EXC2075 PN7 PN7-6(II) curated] URL

Paolo Conti, Jonas Kneifl, Andrea Manzoni, Attilio Frangi, Jörg Fehr, Steven L. Brunton, and J. Nathan Kutz. VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification. 2024. [PUMA: curated PN7-6(II) PN7 EXC2075]

Philipp Rodegast, Steffen Maier, Jonas Kneifl, and Jörg Fehr. Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios. DaRUS, 2023. [PUMA: EXC2075 PN7 PN7-6(II) curated] URL

Philipp Rodegast, Steffen Maier, Jonas Kneifl, and Jörg Fehr. On using Machine Learning Algorithms for Motorcycle Collision Detection. 2024. [PUMA: curated PN7 PN7-6(II) EXC2075]

Jonas Kneifl, Jörg Fehr, Steven L. Brunton, and J. Nathan Kutz. Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks. 2024. [PUMA: curated PN7 PN7-6(II) EXC2075]

Jonas Kneifl, and Jörg Fehr. Crash Simulations of a Racing Kart's Structural Frame Colliding against a Rigid Wall. DaRUS, 2023. [PUMA: curated PN7 PN7-6(II) EXC2075] URL

Denis Pfeifer, Andreas Baumann, Marco Giani, Christian Scheifele, and Jörg Fehr. Hybrid Digital Twins Using FMUs to Increase the Validity and Domain of Virtual Commissioning Simulations. Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, Springer, 2023. [PUMA: EXC2075 PN4 PN7 PN7-6 PN7-6(II) curated]

Denis Pfeifer, Jonas Scheid, Jonas Kneifl, and Jörg Fehr. An improved development process of production plants using digital twins with extended dynamic behaviour in virtual commissioning and control – Simulation@Operations. Proceedings in Applied Mathematics & Mechanics, 2023. [PUMA: EXC2075 PN7 PN7-6 PN7-6(II) curated]