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Utilizing Artificial Neural Networks for Entry Vehicle Aerodynamic Characterization
Review of the -Vector and Its Relation to Classical Data Structures
Proper-Orthogonal-Decomposition-Based Leveraging of Reentry Vehicle’s Surface Environment
Predicting Maximum Lift Coefficient for Compound Wings Using Lifting Line Theory
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
Launch Vehicle Ascent Computational Fluid Dynamics for the Space Launch System