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Implementation of mycorrhizal mechanism into a soil carbon model improves the prediction of long-term processes of plant litter decomposition2021 conference-abstract Agricultural and Biological Sciences Mycorrhizal Fungi and Plant Interactions Open access
Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, Nadejda A. Soudzilovskaia
0citations -
Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition2022 Biogeosciences article Agricultural and Biological Sciences Soil Carbon and Nitrogen Dynamics Open access
Weilin Huang, Peter M. van Bodegom, Toni Viskari, Jari Liski, Nadejda A. Soudzilovskaia
13citations -
Repairing Conformance Violations with a Reference Model in the Context of Automata Decomposition2026 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) conference-paper Computer Science Formal Methods in Verification Open access
Bahareh Taghavi, Max Stachon, Adrian Marin, Bao-Lan Le-Quang, Bernhard Rumpe⋆, Ralf Reussner, +1 more
0citations -
4D Flow Patterns and Relative Pressure Distribution in a Left Ventricle Model by Shake-the-Box and Proper Orthogonal Decomposition Analysis2023 Cardiovascular Engineering and Technology article Medicine Cardiovascular Function and Risk Factors Open access
Xiaolin Wu, Hicham Saaid, Jason D. Voorneveld, Tom E. Claessens, Jos J.M. Westenberg, Nico de Jong, +2 more
12citations -
A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks
Steffen Kastian, Dieter Moser, Lars Grasedyck, Stefanie Reese
18citations -
Model order reduction techniques applied to magnetodynamic T-Ω-formulation2020 COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering article Physics and Astronomy Model Reduction and Neural Networks
Fabian Müller, Lucas Crampen, Thomas Henneron, Stephane Clenet, Kay Hameyer
4citations -
A hybrid enrichment strategy for the efficient construction of reduced order models by the proper generalized decomposition0citations
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A model hierarchy for predicting the flow in stirred tanks with physics-informed neural networks2024 Advances in Computational Science and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Veronika Trávníková, Daniel Wolff, Nico Dirkes, Stefanie Elgeti, Eric von Lieres, Marek Behr
5citations -
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Stephan Ritzert, Jian Zhang, Jannick Kehls, Stefanie Reese, Tim Brepols
22citations -
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Qinghua Zhang, Stephan Ritzert, Jian Zhang, Jannick Kehls, Stefanie Reese, Tim Brepols
0citations -
Nonlinear parametric simulation by proper generalized decomposition on the example of a synchronous machine2022 COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering article Physics and Astronomy Model Reduction and Neural Networks
Fabian Müller, Paul Baumanns, Martin Marco Nell, Kay Hameyer
4citations