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A novel numerical strategy for modeling the moving boundary value problem of electrochemical machining2022 International Journal for Numerical Methods in Engineering article Engineering Advanced Machining and Optimization Techniques Open access
Tim van der Velden, Stephan Ritzert, Stefanie Reese, Johanna Waimann
15citations -
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 -
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 -
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials2023 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Mohammad Sarkari Khorrami, Jaber Rezaei Mianroodi, Nima Hamidi Siboni, Pawan Goyal, Bob Svendsen, Peter Benner, +1 more
97citations