Field Inversion and Machine Learning With Embedded Neural Networks: Physics-Consistent Neural Network Training
Author:
Affiliation:
1. University of Maryland, College Park
2. University of Michigan, Ann Arbor
Publisher
American Institute of Aeronautics and Astronautics
Reference28 articles.
1. Machine-Learning-Augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
2. Evaluation of Turbulence Models Using Direct Numerical and Large-Eddy Simulation Data
3. Some Recent Developments in Turbulence Closure Modeling
4. Turbulence Modeling in the Age of Data
5. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
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