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Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces2025 neural information processing systems conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Daniël M. Pelt, Erik J. Bekkers
1citations -
Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates31citations
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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 simultaneous approach for training neural differential-algebraic systems of equations2026 Computational Optimization and Applications article 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
10citations -
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
8citations -
Predicting stress hotspots in crystal plasticity with Fourier neural operator surrogates2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Ajaikrishna Ramalingam, Niklas C. Fehlemann, Sebastian Münstermann
0citations -
Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Sarthak Kapoor, Jaber Rezaei Mianroodi, Mohammad Sarkari Khorrami, Nima S. Siboni, Bob Svendsen
3citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
47citations -
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations -
plan4res D2.2 - Case Study 1 Report - Multimodal energy concept for achieving Europe's carbon reduction goals2021 Zenodo (CERN European Organization for Nuclear Research) report Engineering Integrated Energy Systems Optimization Open access
Dieter Most, Lothar Wyrwoll, Carlo Schmitt, Inci Yueksel-Erguen
4citations -
Progress in Research and Development of Solid Oxide Cells, Stacks and Systems at Forschungszentrum Jülich2023 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells
Felix Kunz, Roland Peters, Dominik Schäfer, Shidong Zhang, Nicolas Kruse, Lambertus G. J. de Haart, +8 more
0citations