Pages that link to "Item:Q2133780"
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The following pages link to Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection (Q2133780):
Displaying 7 items.
- A Principal Component Analysis and neural network based non-iterative method for inverse conjugate natural convection (Q709015) (← links)
- Physics-informed neural networks for data-driven simulation: advantages, limitations, and opportunities (Q2683126) (← links)
- Prediction of turbulent heat transfer using convolutional neural networks (Q4972211) (← links)
- Deep learning in turbulent convection networks (Q5218582) (← links)
- Physics-informed neural networks for the Reynolds-averaged Navier-Stokes modeling of Rayleigh-Taylor turbulent mixing (Q6060732) (← links)
- A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty (Q6553801) (← links)
- Revisiting tensor basis neural network for Reynolds stress modeling: application to plane channel and square duct flows (Q6566970) (← links)
