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Gemotion.jl: A Julia finite-element solver for steady two-dimensional Navier-Stokes-Fourier natural-convection problems with generalized material laws0citations
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Gemotion.jl: A Julia finite-element solver for steady two-dimensional Navier-Stokes-Fourier natural-convection problems with generalized material laws0citations
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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 -
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: Comparison with finite element method2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
12citations -
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 -
EnergyMinimizingDD.jl: Energy-minimizing domain decomposition for finite-element problems in Julia2026 Zenodo (CERN European Organization for Nuclear Research) software Engineering Advanced Numerical Methods in Computational Mathematics Open access
Lambert Theisen, Benjamin Stamm, Muhammad Hassan, Baraniak Jedrzej
0citations -
EnergyMinimizingDD.jl: Energy-minimizing domain decomposition for finite-element problems in Julia2026 Zenodo (CERN European Organization for Nuclear Research) software Engineering Advanced Numerical Methods in Computational Mathematics Open access
Lambert Theisen, Benjamin Stamm, Muhammad Hassan, Baraniak Jedrzej
0citations -
HydroGym: A Multi-Solver Reinforcement Learning Platform for Fluid Dynamics2026 Zenodo (CERN European Organization for Nuclear Research) other Physics and Astronomy Model Reduction and Neural Networks Open access
Christian Lagemann, Sajeda Mokbel, Miro Gondrum, Mario Rüttgers, Yuning Wang, Pol Suárez, +15 more
1citations -
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 -
Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning2026 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Kianoosh Taghikhani, Yusuke Yamazaki, Markus Apel, Reza Najian Asl, Shahed Rezaei
1citations