Prefer a chat interface with context about you and your work?
Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
A modeling paradigm is developed to augment predictive models of turbulence by effectively using limited data generated from physical experiments. The key components of the current approach involve inverse modeling to infer the spatial distribution of model discrepancies and machine learning to reconstruct discrepancy information from a large number of …