Pages that link to "Item:Q6101048"
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The following pages link to Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model (Q6101048):
Displaying 4 items.
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach (Q525932) (← links)
- Bayesian uncertainty quantification of turbulence models based on high-order adjoint (Q1645947) (← links)
- Bayesian calibration of the constants of the \(k-\varepsilon\) turbulence model for a CFD model of street canyon flow (Q1668426) (← links)
- Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small data (Q6086911) (← links)
