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Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"2023 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese
1citations -
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"2023 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese
0citations -
Reduced Order Modeling for modular anisotropic Structures based on Proper Orthogonal Decomposition and Mesh Tying0citations
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Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A case study of Cornwall, UK
Dimitra Teza, Ryan Santoso, Nora Koltzer, Denise Degen, Tony Bennett, Florian Wellmann
0citations -
Multi-field decomposed hyper-reduced order modeling of damage-plasticity simulations2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jannick Kehls, Stephan Ritzert, Lars Breuer, Qinghua Zhang, Stefanie Reese, Tim Brepols
3citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
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 -
Development of a Model Order Reduced Arbitrary Lagrangian Eulerian ( MORALE ) Formulation for Structures Subjected to Dynamic Moving Loads2025 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Atul Anantheswar, Jannick Kehls, Ines Wollny, Tim Brepols, Stefanie Reese, Michael Kaliske
0citations -
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 -
Retrieving the transmission spectrum of HD 209458b using CHOCOLATE: a new chromatic Doppler tomography technique2021 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access
E. Esparza-Borges, M. Oshagh, N. Casasayas-Barris, Ε. Πάλλη, G. Chen, Giuseppe Morello, +26 more
4citations