Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
Deep learning approach in multi-scale prediction of turbulent mixing-layer
General solutions for nonlinear differential equations: a deep reinforcement learning approach
Discovering governing equations from data by sparse identification of nonlinear dynamical systems.
Machine learning methods for turbulence modeling in subsonic flows over airfoils
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks