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Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel
12citations -
A Data-Driven Reduced Order Modeling Approach Applied in Context of Numerical Analysis and Optimization of Plastic Profile Extrusion4citations
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Joint optimization of wavefront sensing and reconstruction with automatic differentiation2022 Adaptive Optics Systems VIII conference-paper Physics and Astronomy Adaptive optics and wavefront sensing
Rico Landman, Christoph U. Keller, Emiel H. Por, Sebastiaan Y. Haffert, David S. Doelman, Thijs A. Stockmans
2citations -
Joint optimization of wavefront sensing and reconstruction with automatic differentiation2022 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access
Rico Landman, Christoph U. Keller, Emiel H. Por, Sebastiaan Y. Haffert, David S. Doelman, Thijs A. Stockmans
1citations -
Rapid and accurate numerical evolution of linear cosmological perturbations with noncold relics2025 Physical review. D/Physical review. D. article Physics and Astronomy Cosmology and Gravitation Theories Open access
Nanoom Lee, José Luis Bernal, Sven Günther, Lingyuan Ji, Marc Kamionkowski
2citations -
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