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Model Reduction and Neural Networks Sign in to save
308
Aachen papers (primary topic)
354
Further papers (secondary topic)
2.47k
Citations
277
Aachen authors
Papers per year
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Papers 308
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Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
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Machine learning control and modeling -How taming turbulence can be made easy, efficient, fast and fun!2020 HAL (Le Centre pour la Communication Scientifique Directe) conference-paper Physics and Astronomy Model Reduction and Neural Networks
Bernd R. Noack, Yiqing Li, Dewei Fan, Yu Qiong Zhou, Hao Li, Jianguo Tan, +10 more
0citations -
Order Reduction of a Nonlinear Convection-Dominated Model of Heart Valve Tissue Maturation2022 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Physics and Astronomy Model Reduction and Neural Networks
Kirsten VoB, Ahmed Elkhashap, Lorenz Dörschel, Maximilian P. Werner, Vytautas Kučikas, Marc A.M.J. van Zandvoort, +2 more
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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
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A hybrid enrichment strategy for the efficient construction of reduced order models by the proper generalized decomposition0citations
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Influence of adversarial training on super-resolution turbulence reconstruction2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Mathis Bode, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +1 more
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Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations
Most active Aachen authors
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Stefanie Reese 10,177 citations overall32 papers
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