Shahed Rezaei - RankMe

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-Enhanced Damage Prediction in Electrode Materials From Simulation Video Sequences. IEEE Trans Autom. Sci. Eng. Quan Zeng, Shahed Rezaei, Bai-Xiang Xu, Sarbajit Banerjee, Yu Ding
2026	J	`jnl`	Tackling multiphysics problems via finite element-guided physics-informed operator learning. CoRR Yusuke Yamazaki, Reza Najian Asl, Markus Apel, Mayu Muramatsu, Shahed Rezaei
2025	J	`jnl`	A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries. CoRR Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
2025	J	`jnl`	A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains. Eng. Comput. Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, Shahed Rezaei
2025	J	`jnl`	Neural-Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning. CoRR Kianoosh Taghikhani, Yusuke Yamazaki, Jerry Paul Varghese, Markus Apel, Reza Najian Asl, Shahed Rezaei
2024	J	`jnl`	A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures. CoRR Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei
2024	J	`jnl`	A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains. CoRR Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, Shahed Rezaei
2024	J	`jnl`	A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations. CoRR Shahed Rezaei, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Gottfried Laschet, Stefanie Reese, Markus Apel
2024	J	`jnl`	A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties. CoRR Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
2024	J	`jnl`	Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs. CoRR Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel
2024	J	`jnl`	Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations. CoRR Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
2024	J	`jnl`	Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. CoRR Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
2023	J	`jnl`	Comparative analysis of numerical approaches for fracture simulation in multiphase materials containing interfaces: Unveiling the potential of microstructural design to enhance fracture properties. CoRR Rasoul Najafi Koopas, Shahed Rezaei, Natalie Rauter, Richard Ostwald, Rolf Lammering
2023	J	`jnl`	Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN. CoRR Shahed Rezaei, Ahmad Moeineddin, Ali Harandi
2023	J	`jnl`	Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains. CoRR Ali Harandi, Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
2022	J	`jnl`	A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. CoRR Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai-Xiang Xu, Stefanie Reese
2022	J	`jnl`	AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam. CoRR Da Chen, Nima Emami, Shahed Rezaei, Philipp L. Rosendahl, Bai-Xiang Xu, Jens Schneider, Kang Gao, Jie Yang
2021	J	`jnl`	An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models. CoRR Shahed Rezaei, Ali Harandi, Tim Brepols, Stefanie Reese
2021	J	`jnl`	Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. CoRR Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe
2020	J	`jnl`	Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. Adv. Model. Simul. Eng. Sci. Mauricio Fernández, Shahed Rezaei, Jaber Rezaei Mianroodi, Felix Fritzen, Stefanie Reese