Ahmad Moeineddin

According to our database, Ahmad Moeineddin authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs.

Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel

CoRR, 2024

Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations.

Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel

CoRR, 2024

2023

Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN.

Shahed Rezaei, Ahmad Moeineddin, Ali Harandi

CoRR, 2023

Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains.

Ali Harandi, Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei

CoRR, 2023

2022

A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method.

Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai-Xiang Xu, Stefanie Reese

CoRR, 2022