Pages that link to "Item:Q6097591"
From MaRDI portal
The following pages link to Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations (Q6097591):
Displaying 10 items.
- Learning viscoelasticity models from indirect data using deep neural networks (Q2246355) (← links)
- A comparative study on different neural network architectures to model inelasticity (Q6082629) (← links)
- Incremental neural controlled differential equations for modeling of path-dependent material behavior (Q6125468) (← links)
- Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics (Q6550128) (← links)
- A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites (Q6557800) (← links)
- Theory and implementation of inelastic constitutive artificial neural networks (Q6566033) (← links)
- On sparse regression, \(L_p\)-regularization, and automated model discovery (Q6592362) (← links)
- An Eulerian constitutive model for rate-dependent inelasticity enhanced by neural networks (Q6595904) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables (Q6661941) (← links)
