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Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
98citations -
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 -
Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation2024 Computers & Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, P. Petkov, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, +2 more
11citations -
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
216citations -
Adaptive optics pre-correction demonstrator for terabit optical communication2023 International Conference on Space Optics (ICSO) conference-paper Physics and Astronomy Adaptive optics and wavefront sensing Open access
Kristiaan Broekens, Wimar Klop, Thijs Moens, Martin Eschen, Gustavo Castro do Amaral, Fabrizio Silvestri, +6 more
7citations -
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 -
Elemental fragmentation cross sections for a 16O beam of 400 MeV/u kinetic energy interacting with a graphite target using the FOOT ΔE-TOF detectors2022 Frontiers in Physics article Physics and Astronomy Nuclear physics research studies Open access
Marco Toppi, A. Sarti, Andrey Alexandrov, B. Alpat, G. Ambrosi, S. Argirò, +93 more
12citations
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