Pages that link to "Item:Q2123996"
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The following pages link to Deep learning of the spanwise-averaged Navier-Stokes equations (Q2123996):
Displaying 11 items.
- Discretizationnet: a machine-learning based solver for Navier-Stokes equations using finite volume discretization (Q2021855) (← links)
- Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression (Q2083714) (← links)
- Data-driven multi-grid solver for accelerated pressure projection (Q2084099) (← links)
- NSFnets (Navier-Stokes flow nets): physics-informed neural networks for the incompressible Navier-Stokes equations (Q2127017) (← links)
- Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons (Q5038552) (← links)
- Physics-Driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks (Q5042008) (← links)
- AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems (Q5099843) (← links)
- Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains (Q5162374) (← links)
- Deep learning in turbulent convection networks (Q5218582) (← links)
- Reynolds averaged turbulence modelling using deep neural networks with embedded invariance (Q5360504) (← links)
- Physics-informed neural networks for the Reynolds-averaged Navier-Stokes modeling of Rayleigh-Taylor turbulent mixing (Q6060732) (← links)
