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Ahmad Moeineddin
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2020 – today
- 2024
- [i5]Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel:
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations. CoRR abs/2401.02363 (2024) - [i4]Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel:
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs. CoRR abs/2407.04157 (2024) - 2023
- [i3]Ali Harandi, Ahmad Moeineddin
, Michael Kaliske, Stefanie Reese, Shahed Rezaei:
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains. CoRR abs/2302.04954 (2023) - [i2]Shahed Rezaei, Ahmad Moeineddin
, Ali Harandi:
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN. CoRR abs/2304.06044 (2023) - 2022
- [i1]Shahed Rezaei, Ali Harandi, Ahmad Moeineddin
, Bai-Xiang Xu, Stefanie Reese:
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. CoRR abs/2206.13103 (2022)
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last updated on 2025-01-09 13:04 CET by the dblp team
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