Pages that link to "Item:Q6071412"
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The following pages link to Deep learning phase‐field model for brittle fractures (Q6071412):
Displaying 7 items.
- Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains (Q6569914) (← links)
- Neuro-PINN: a hybrid framework for efficient nonlinear projection equation solutions (Q6569923) (← links)
- A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics (Q6588318) (← links)
- Exact enforcement of temporal continuity in sequential physics-informed neural networks (Q6595862) (← links)
- Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials (Q6595896) (← links)
- Interpretable physics-encoded finite element network to handle concentration features and multi-material heterogeneity in hyperelasticity (Q6609781) (← links)
- A multi-level adaptive mesh refinement strategy for unified phase field fracture modeling using unstructured conformal simplices (Q6669012) (← links)
