Deep autoencoders for physics-constrained data-driven nonlinear materials modeling

• A biologically plausible recurrent spiking architecture for modeling nonlinear dynamic mechanical systems

  2026 Computer Methods in Applied Mechanics and Engineering article Engineering Advanced Memory and Neural Computing Open access

  1

  citations
• 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
• 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
• 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

10 results

• SO(3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials

  2020 Computer Methods in Applied Mechanics and Engineering article Engineering Elasticity and Material Modeling Open access

  129

  citations
• Model-free data-driven computational mechanics enhanced by tensor voting

  2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  82

  citations

2 results