Thermodynamically consistent data-driven computational mechanics

• 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
• 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
• 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
• 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

7 results