Pages that link to "Item:Q6093463"
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The following pages link to Physics-informed data-driven model for fluid flow in porous media (Q6093463):
Displaying 5 items.
- Physics-constrained deep learning forecasting: an application with capacitance resistive model (Q2085076) (← links)
- Physics-inspired architecture for neural network modeling of forces and torques in particle-laden flows (Q2129550) (← links)
- Residual-based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks (Q2156788) (← links)
- A data-driven surrogate to image-based flow simulations in porous media (Q2176870) (← links)
- Deep global model reduction learning in porous media flow simulation (Q2187913) (← links)