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