Not finding it? Sign in to also search OpenAlex live.
-
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: Comparison with finite element method2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
12citations -
A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models2021 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jack Hale, Elisa Schenone, Davide Baroli, Lars Beex, Stéphane Bordas
13citations -
Development of a Model Order Reduced Arbitrary Lagrangian Eulerian ( MORALE ) Formulation for Structures Subjected to Dynamic Moving Loads2025 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Atul Anantheswar, Jannick Kehls, Ines Wollny, Tim Brepols, Stefanie Reese, Michael Kaliske
0citations -
Multi-field decomposed hyper-reduced order modeling of damage-plasticity simulations2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jannick Kehls, Stephan Ritzert, Lars Breuer, Qinghua Zhang, Stefanie Reese, Tim Brepols
1citations -
Development of a Model Order Reduced Arbitrary Lagrangian Eulerian (MORALE) Formulation for Structures Subjected to Dynamic Moving Loads2025 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Atul Anantheswar, Jannick Markus Kehls, Ines Wollny, T. Brepols, Stefanie Reese, Michael Kaliske
0citations -
Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
98citations -
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Stephan Ritzert, Jian Zhang, Jannick Kehls, Stefanie Reese, Tim Brepols
22citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis2022 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks
Saurabh Balkrishna Tandale, Bernd A. Markert, Marcus Stoffel
30citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
39citations -
Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks
Saurabh Balkrishna Tandale, Franz Bamer, Bernd A. Markert, Marcus Stoffel
31citations -
A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks
Steffen Kastian, Dieter Moser, Lars Grasedyck, Stefanie Reese
18citations -
Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning2026 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Kianoosh Taghikhani, Yusuke Yamazaki, Markus Apel, Reza Najian Asl, Shahed Rezaei
1citations -
An approach to encode divergence-free stress fields in neural approximations based on stress potentials2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Mohammad Sarkari Khorrami, Pawan Goyal, Soroush Motahari, David Oexle, Jaber Rezaei Mianroodi, Bob Svendsen, +2 more
0citations