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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    Title :

    AeroFusion: Data Fusion and Uncertainty Quantification for Entry Vehicles


    Contributors:
    S. Snyder (author) / T. J. Wignall (author) / J. Green (author) / S. Kumar (author) / M. Lee (author) / T. Nakamura-Zimmerer (author) / J. B. Scoggins (author) / A. Williams (author)

    Publication date :

    2022


    Size :

    8 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English


    Keywords :



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