Pages that link to "Item:Q4972211"
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The following pages link to Prediction of turbulent heat transfer using convolutional neural networks (Q4972211):
Displaying 17 items.
- Estimation of heat transfer in oscillating annular flow using artifical neural networks (Q834227) (← links)
- Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression (Q2083714) (← links)
- Deep learning of the spanwise-averaged Navier-Stokes equations (Q2123996) (← links)
- DeepM\&Mnet: inferring the electroconvection multiphysics fields based on operator approximation by neural networks (Q2131084) (← links)
- Mesh-Conv: convolution operator with mesh resolution independence for flow field modeling (Q2133572) (← links)
- Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection (Q2133780) (← links)
- Physics-informed PointNet: a deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries (Q2168328) (← links)
- Data-driven identification of 2D partial differential equations using extracted physical features (Q2236988) (← links)
- Kinetic-energy-flux-constrained model using an artificial neural network for large-eddy simulation of compressible wall-bounded turbulence (Q5015138) (← links)
- Predicting drag on rough surfaces by transfer learning of empirical correlations (Q5019243) (← links)
- Heat transfer increase by convection in liquid-infused surfaces for laminar and turbulent flows (Q5073444) (← links)
- Unsupervised deep learning for super-resolution reconstruction of turbulence (Q5145486) (← links)
- Deep learning in turbulent convection networks (Q5218582) (← links)
- Spatial and spectral characteristics of information flux between turbulent boundary layers and porous media (Q5869159) (← links)
- Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks (Q6096862) (← links)
- Four-dimensional variational data assimilation of a turbulent jet for super-temporal-resolution reconstruction (Q6145701) (← links)
- On the locality of local neural operator in learning fluid dynamics (Q6557796) (← links)
