Pages that link to "Item:Q2020782"
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The following pages link to MAP123-EPF: a mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain (Q2020782):
Displaying 9 items.
- Data-driven enhanced phase field models for highly accurate prediction of mode I and mode II fracture (Q2083159) (← links)
- A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features (Q2115607) (← links)
- MAP123: a data-driven approach to use 1D data for 3D nonlinear elastic materials modeling (Q2179201) (← links)
- MAP123-EP: a mechanistic-based data-driven approach for numerical elastoplastic analysis (Q2180473) (← links)
- A machine learning based plasticity model using proper orthogonal decomposition (Q2184326) (← links)
- Machine learning based asymptotic homogenization and localization: Predictions of key local behaviors of multiscale configurations bearing microstructural varieties (Q6071413) (← links)
- Computation‐with‐confidence for static elasticity: Data‐driven approach with order statistics (Q6121553) (← links)
- Data-driven confidence bound for structural response using segmented least squares: a mixed-integer programming approach (Q6614962) (← links)
- A novel data-driven framework of elastoplastic constitutive model based on geometric physical information (Q6663333) (← links)
