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Utilizing Artificial Neural Networks for Entry Vehicle Aerodynamic Characterization
Physics-Informed Machine Learning Using Low-Fidelity Flowfields for Inverse Airfoil Shape Design
Modification of the Class-Shape-Transformation Parameterization Based on Radial Basis Functions
Advances in Space Launch System Booster Separation Computational Fluid Dynamics
Launch Vehicle Ascent Computational Fluid Dynamics for the Space Launch System
Review of the -Vector and Its Relation to Classical Data Structures
InSight Entry, Descent, and Landing Preflight Performance Predictions
Predicting Maximum Lift Coefficient for Compound Wings Using Lifting Line Theory
Analytical Model for Ring-Wing Propulsor Thrust Augmentation
Airfoil Design Parameterization and Optimization Using Bézier Generative Adversarial Networks
Development and Analysis of Variable Pitch Propeller with Aerodynamic Stable Blades
Inverse Design of Airfoil Using a Deep Convolutional Neural Network
Evaluating Risk to People and Property for Aircraft Emergency Landing Planning
Application of Taylor-Series Integration to Reentry Problems with Wind
Proper-Orthogonal-Decomposition-Based Leveraging of Reentry Vehicle’s Surface Environment
Airfoil-Performance-Degradation Prediction Based on Nondimensional Icing Parameters