Pages that link to "Item:Q2693390"
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The following pages link to A peridynamic-informed neural network for continuum elastic displacement characterization (Q2693390):
Displaying 8 items.
- Physics-informed neural networks for shell structures (Q2102673) (← links)
- Physics informed neural networks for continuum micromechanics (Q2138812) (← links)
- A physics-guided neural network framework for elastic plates: comparison of governing equations-based and energy-based approaches (Q2237330) (← links)
- A machine-learning framework for peridynamic material models with physical constraints (Q2246256) (← links)
- Physics-informed neural network frameworks for crack simulation based on minimized peridynamic potential energy (Q6153887) (← links)
- Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading (Q6164292) (← links)
- PINN-FORM: a new physics-informed neural network for reliability analysis with partial differential equation (Q6171227) (← links)
- A novel framework for fatigue cracking and life prediction: perfect combination of peridynamic method and deep neural network (Q6663335) (← links)
