Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization

Engineering

• Airfoil 20%
• Angle-of-Attack 20%
• Computational Domain 20%
• Deep Learning 100%
• Design Parameter 20%
• Dimensionality 20%
• Flow Field 40%
• Geometric Feature 20%
• Gradient-Based Algorithm 20%
• Lift to Drag Ratio 20%
• Objective Function 20%
• Optimal Angle 20%
• Optimisation Problem 80%
• Starting Point 20%
• Surrogate Model 100%
• Tasks 20%

Chemical Engineering

• Constrained Optimization 25%
• Deep Learning 100%
• Neural Network 100%