NASA NTRS · 20220018034
AeroFusion: Data Fusion and Uncertainty Quantification for Entry Vehicles
Abstract
AeroFusion is a NASA Langley initiative to incorporate advances in data science into the aerodynamic modeling process to improve efficiency. The effort can largely be categorized in three components: reduced-order modeling techniques, surrogate modeling techniques, and uncertainty quantification. By combining various methods from these categories, AeroFusion aims to reduce the development cost of aerodynamic models, both in terms of time and money.
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Steven Snyder, T J Wignall, Justin Green, Satvik Kumar, Michael Lee, Tenavi Nakamura-Zimmerer, J B Scoggins, Anthony Williams. AeroFusion: Data Fusion and Uncertainty Quantification for Entry Vehicles. https://ntrs.nasa.gov/citations/20220018034
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