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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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Fast Computation of Hydrodynamic Pressure in Lubricated Contacts: Which Lp Loss is Most Suitable for Physics-Informed Neural Networks Solving the Reynolds Equation?2024 International Journal of Fluid Power article Physics and Astronomy Model Reduction and Neural Networks Open access
Faras Brumand‐Poor, Nils Plückhahn, Niklas Bauer, Katharina Schmitz
2citations -
A simultaneous approach for training neural differential-algebraic systems of equations2026 Computational Optimization and Applications book-chapter Physics and Astronomy Model Reduction and Neural Networks Open access
Laurens R. Lueg, Victor Manuel Cunha Alves, Daniel Schicksnus, John R. Kitchin, Carl D. Laird, Lorenz T. Biegler
2citations -
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis2020 Advances in intelligent systems and computing conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Antonio Attili, Alberto Cuoci, Heinz G. Pitsch, Alessandro Parente
2citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow2citations
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Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
2citations
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