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Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs2022 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent
Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein
60citations -
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 -
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more
12citations -
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method2023 Journal of Advances in Modeling Earth Systems article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access
Patrick Obin Sturm, Astrid Manders, Ruud H. H. Janssen, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin
9citations -
RTFAST-Spectra: emulation of X-ray reverberation mapping for active galactic nuclei2025 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysical Phenomena and Observations Open access
Benjamin Ricketts, Daniela Huppenkothen, Matteo Lucchini, Adam Ingram, Guglielmo Mastroserio, Matthew Ho, +1 more
2citations -
A Systematic Review of PDE-based models for advanced rendering in computer graphics: Methods, Architectures, and Future Research Directions1citations
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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 -
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models2025 Archive ouverte UNIGE (University of Geneva) article Computer Science Artificial Intelligence Applications Open access
Kristian González Barman, S. Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, +15 more
1citations -
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach2023 IEEE Transactions on Neural Networks and Learning Systems article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
24citations