Pages that link to "Item:Q2692822"
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The following pages link to Enhancing phenomenological yield functions with data: challenges and opportunities (Q2692822):
Displaying 8 items.
- Bayesian modeling of inconsistent plastic response due to material variability (Q1988100) (← links)
- Geometric prior of multi-resolution yielding manifolds and the local closest point projection for nearly non-smooth plasticity (Q2083112) (← links)
- Bezier5YS and SHYqp: a general framework for generating data and for modeling symmetric and asymmetric orthotropic yield surfaces (Q2102568) (← links)
- A machine learning based plasticity model using proper orthogonal decomposition (Q2184326) (← links)
- Data driven modeling of plastic deformation (Q2309802) (← links)
- Modular machine learning-based elastoplasticity: generalization in the context of limited data (Q2693407) (← links)
- Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics (Q6550128) (← links)
- A thermodynamics-informed neural network for elastoplastic constitutive modeling of granular materials (Q6595912) (← links)
