Pages that link to "Item:Q2670056"
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The following pages link to High Reynolds number airfoil turbulence modeling method based on machine learning technique (Q2670056):
Displaying 6 items.
- RANS turbulence model development using CFD-driven machine learning (Q777616) (← links)
- The use of the Reynolds force vector in a physics informed machine learning approach for predictive turbulence modeling (Q2333058) (← links)
- A deep learning approach for the transonic flow field predictions around airfoils (Q2670066) (← links)
- Machine learning for vortex induced vibration in turbulent flow (Q2670071) (← links)
- Airfoil-based convolutional autoencoder and long short-term memory neural network for predicting coherent structures evolution around an airfoil (Q6100106) (← links)
- Reconstruction of unstable atmospheric surface layer streamwise turbulence based on multi-layer perceptron neural network architecture (Q6658672) (← links)
