Pages that link to "Item:Q6158535"
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The following pages link to Machine learning for RANS turbulence modeling of variable property flows (Q6158535):
Displaying 8 items.
- RANS turbulence model development using CFD-driven machine learning (Q777616) (← links)
- Dynamic calibration of differential equations using machine learning, with application to turbulence models (Q2135788) (← links)
- Field inversion for data-augmented RANS modelling in turbomachinery flows (Q2176866) (← links)
- The use of the Reynolds force vector in a physics informed machine learning approach for predictive turbulence modeling (Q2333058) (← links)
- High Reynolds number airfoil turbulence modeling method based on machine learning technique (Q2670056) (← links)
- On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling (Q5880411) (← links)
- Physics-informed machine learning for surrogate modeling of wind pressure and optimization of pressure sensor placement (Q6044216) (← links)
- On the improvement of the extrapolation capability of an iterative machine-learning based RANS framework (Q6158562) (← links)
