W3215085381

• LLMs as designers of physics-constrained neural networks for constitutive modeling: a demonstration on hyperelastic solids

  2026 Machine learning for computational science and engineering article Engineering Elasticity and Material Modeling Open access

  0

  citations
• 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
• Rediscovering Hyperelasticity by Deep Symbolic Regression

  2026 International Journal for Numerical Methods in Engineering article Engineering Elasticity and Material Modeling Open access

  3

  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
• A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics: proof of concept and parameter study

  2025 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

  2

  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
• Rediscovering the Mullins effect with deep symbolic regression

  2024 International Journal of Plasticity article Engineering Elasticity and Material Modeling Open access

  26

  citations
• Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems

  2024 Extreme Mechanics Letters article Engineering Elasticity and Material Modeling Open access

  29

  citations
• Automated model discovery for human cardiac tissue: Discovering the best model and parameters

  2024 Computer Methods in Applied Mechanics and Engineering article Engineering Elasticity and Material Modeling Open access

  46

  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
• Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks

  2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks

  82

  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
• Hyperelastic material modelling using symbolic regression

  2023 PAMM article Engineering Elasticity and Material Modeling Open access

  7

  citations

13 results