Pages that link to "Item:Q2131089"
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The following pages link to Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow (Q2131089):
Displaying 4 items.
- Efficient uncertainty quantification for dynamic subsurface flow with surrogate by theory-guided neural network (Q2020800) (← links)
- Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network (Q2157149) (← links)
- A connection element method: both a new computational method and a physical data-driven framework -- take subsurface two-phase flow as an example (Q6158701) (← links)
- Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation (Q6648518) (← links)
