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Shahed Rezaei
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 14
Top Topics
Finite Element
Neural Network
Engineering Problems
Multiscale
Top Venues
CoRR
Adv. Model. Simul. Eng. Sci.
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Publications
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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)