Pages that link to "Item:Q5880411"
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The following pages link to On the Generalizability of Machine-Learning-Assisted Anisotropy Mappings for Predictive Turbulence Modelling (Q5880411):
Displaying 11 items.
- Machine learning strategies for systems with invariance properties (Q726815) (← links)
- RANS turbulence model development using CFD-driven machine learning (Q777616) (← links)
- Flows over periodic hills of parameterized geometries: a dataset for data-driven turbulence modeling from direct simulations (Q2176735) (← links)
- Data-driven modelling of the Reynolds stress tensor using random forests with invariance (Q2180004) (← links)
- A paradigm for data-driven predictive modeling using field inversion and machine learning (Q2374961) (← links)
- Using machine learning to detect the turbulent region in flow past a circular cylinder (Q5131422) (← links)
- Combining direct and indirect sparse data for learning generalizable turbulence models (Q6107115) (← links)
- Machine learning for RANS turbulence modeling of variable property flows (Q6158535) (← links)
- On the improvement of the extrapolation capability of an iterative machine-learning based RANS framework (Q6158562) (← links)
- Revisiting tensor basis neural network for Reynolds stress modeling: application to plane channel and square duct flows (Q6566970) (← links)
- A data-driven turbulence modeling for the Reynolds stress tensor transport equation (Q6659842) (← links)
