Pages that link to "Item:Q2138793"
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The following pages link to Mechanistically informed data-driven modeling of cyclic plasticity via artificial neural networks (Q2138793):
Displaying 16 items.
- Accurate cyclic plastic analysis using a neural network material model (Q597632) (← links)
- Microstructural inelastic fingerprints and data-rich predictions of plasticity and damage in solids (Q785491) (← links)
- Truncated-Newton training algorithm for neurocomputational viscoplastic model. (Q1418239) (← links)
- Data science for finite strain mechanical science of ductile materials (Q1999552) (← links)
- Deep learning and crystal plasticity: a preconditioning approach for accurate orientation evolution prediction (Q2072494) (← links)
- MAP123-EP: a mechanistic-based data-driven approach for numerical elastoplastic analysis (Q2180473) (← links)
- A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths (Q2236174) (← links)
- Thermodynamically consistent machine-learned internal state variable approach for data-driven modeling of path-dependent materials (Q2679297) (← links)
- Model-free data-driven identification algorithm enhanced by local manifold learning (Q2692900) (← links)
- A new neural network-based model for hysteretic behavior of materials (Q3623126) (← links)
- A mechanics‐informed artificial neural network approach in data‐driven constitutive modeling (Q6069980) (← links)
- Surrogate modeling for the homogenization of elastoplastic composites based on RBF interpolation (Q6096506) (← links)
- JAX-FEM: a differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science (Q6112664) (← links)
- Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity (Q6584871) (← links)
- A thermodynamics-informed neural network for elastoplastic constitutive modeling of granular materials (Q6595912) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
