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ORCIDShahed Rezaei
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2020 – today
- 2024
[i13]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)- [i12]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 abs/2404.00074 (2024) - [i11]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 abs/2405.01975 (2024) - [i10]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 abs/2405.12465 (2024) - [i9]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) - [i8]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 abs/2407.15665 (2024) - 2023
- [i7]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) - [i6]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) - [i5]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 abs/2311.16826 (2023) - 2022
- [i4]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) - [i3]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 abs/2211.01970 (2022) - 2021
- [i2]Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe:
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. CoRR abs/2108.02837 (2021) - [i1]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 abs/2108.12675 (2021) - 2020
- [j1]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): 1 (2020)
Coauthor Index
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