Shahed Rezaei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Engineering Problems

Top Venues

Adv. Model. Simul. Eng. Sci.

Publications

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 (2024)
Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, Shahed Rezaei
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains. CoRR (2024)
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 (2024)
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. CoRR (2024)
Shahed Rezaei, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Gottfried Laschet, Stefanie Reese, Markus Apel
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations. CoRR (2024)
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties. CoRR (2024)
Shahed Rezaei, Ahmad Moeineddin, Ali Harandi
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN. CoRR (2023)
Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
Comparative analysis of numerical approaches for fracture simulation in multiphase materials containing interfaces: Unveiling the potential of microstructural design to enhance fracture properties. CoRR (2023)
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 (2023)
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 (2022)
Da Chen, Nima Emami, Shahed Rezaei, Philipp L. Rosendahl, Bai-Xiang Xu, Jens Schneider, Kang Gao, Jie Yang
AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam. CoRR (2022)
Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. CoRR (2021)
Shahed Rezaei, Ali Harandi, Tim Brepols, Stefanie Reese
An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models. CoRR (2021)
Mauricio Fernández, Shahed Rezaei, Jaber Rezaei Mianroodi, Felix Fritzen, Stefanie Reese
Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. Adv. Model. Simul. Eng. Sci. 7 (1) (2020)