August 23, 2019 article Open access Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2019.112594 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 10 stored of 275 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Meta-learning Hybrid Spiking networks as physics-based nonlinear solvers for physical simulations 2026 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access 1 citations Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage 2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access 3 citations Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 12 citations Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response 2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 13 citations Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates 2023 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access 31 citations Physically constrained deep recurrent neural network for stiffness computation of plate structures 2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access 6 citations Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 31 citations Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis 2022 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks 30 citations Smart stiffness computation of one-dimensional Finite Elements 2021 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks 25 citations An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture 2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 71 citations 10 results References 0