August 21, 2020 article A general deep learning framework for history-dependent response prediction based on UA-Seq2Seq model Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2020.113357 OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 79 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 Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors 2024 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access 14 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 Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics 2023 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks cited by 1 patent 23 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 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 7 results References 0