University Consortium for Applied Hypersonics Seminar Series: Efficient Aero-Database Construction with Weighted Active Learning
Abstract: Constructing a well-characterized aero-database is essential for understanding the flight characteristics of a vehicle. High-fidelity CFD simulations can be time-consuming to generate. Generating samples in an efficient manner can greatly reduce the total simulation time. In practice, standard approaches often consider the whole space to be equally important, but there are many situations where […]