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    Data-Efficient Machine Learning for Airfoil Prediction via Targeted Data Augmentation

    Source: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 005::page 04026027-1
    Author:
    Zhang, Yi
    ,
    Ross, James
    ,
    Thompson, Brianna
    ,
    Haehnel, Robert
    ,
    Allen, Luke
    ,
    Dettwiller, Ian
    ,
    Kubiak, Lisa
    DOI: 10.1061/JAEEEZ.ASENG-6770
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOptimizing airfoil geometry is critical for improving rotorcraft efficiency by directly influencing blade lift and drag forces. However, the inherent nonlinearity of fluid dynamics and the high dimensionality of design space make airfoil geometry ...Practical ApplicationsOptimizing airfoil shapes is critical for improving the performance and energy efficiency of rotorcraft, such as helicopters and drones. Traditional approaches rely on complex and time-consuming computational fluid dynamics ...
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      Data-Efficient Machine Learning for Airfoil Prediction via Targeted Data Augmentation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314199
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    • Journal of Aerospace Engineering

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    contributor authorZhang, Yi
    contributor authorRoss, James
    contributor authorThompson, Brianna
    contributor authorHaehnel, Robert
    contributor authorAllen, Luke
    contributor authorDettwiller, Ian
    contributor authorKubiak, Lisa
    date accessioned2026-08-20T21:15:54Z
    date available2026-08-20T21:15:54Z
    date copyright2026/05/25
    date issued2026
    identifier otherJAEEEZ.ASENG-6770.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314199
    description abstractAbstractOptimizing airfoil geometry is critical for improving rotorcraft efficiency by directly influencing blade lift and drag forces. However, the inherent nonlinearity of fluid dynamics and the high dimensionality of design space make airfoil geometry ...Practical ApplicationsOptimizing airfoil shapes is critical for improving the performance and energy efficiency of rotorcraft, such as helicopters and drones. Traditional approaches rely on complex and time-consuming computational fluid dynamics ...
    publisherAmerican Society of Civil Engineers
    titleData-Efficient Machine Learning for Airfoil Prediction via Targeted Data Augmentation
    typeJournal Article
    journal volume39
    journal issue5
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/JAEEEZ.ASENG-6770
    journal fristpage04026027-1
    journal lastpage04026027-11
    page11
    treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 005
    contenttypeFulltext
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