Pages that link to "Item:Q5021908"
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The following pages link to Material Modeling via Thermodynamics-Based Artificial Neural Networks (Q5021908):
Displaying 9 items.
- An FE-DMN method for the multiscale analysis of thermomechanical composites (Q2133887) (← links)
- Multiscale modeling of inelastic materials with thermodynamics-based artificial neural networks (TANN) (Q2160403) (← links)
- Modular machine learning-based elastoplasticity: generalization in the context of limited data (Q2693407) (← links)
- Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate (Q2693414) (← links)
- Modeling of materials with fading memory using neural networks (Q3549786) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707446) (← links)
- Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks (Q6084775) (← links)
- Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models (Q6089273) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
