Shahed Rezaei

According to our database, Shahed Rezaei authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties.

Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering

CoRR, 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

A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains.

Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, Shahed Rezaei

CoRR, 2024

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space.

Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering

CoRR, 2024

A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations.

Shahed Rezaei, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Gottfried Laschet, Stefanie Reese, 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

Comparative analysis of numerical approaches for fracture simulation in multiphase materials containing interfaces: Unveiling the potential of microstructural design to enhance fracture properties.

Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering

CoRR, 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

AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam.

Da Chen, Nima Emami, Shahed Rezaei, Philipp L. Rosendahl, Bai-Xiang Xu, Jens Schneider, Kang Gao, Jie Yang

CoRR, 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

2021

An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models.

Shahed Rezaei, Ali Harandi, Tim Brepols, Stefanie Reese

CoRR, 2021

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence.

Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe

CoRR, 2021

2020

Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior.

Mauricio Fernández, Shahed Rezaei, Jaber Rezaei Mianroodi, Felix Fritzen, Stefanie Reese

Adv. Model. Simul. Eng. Sci., 2020