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    Assessment of Machine Learning Wall Modeling Approaches for Large Eddy Simulation of Gas Turbine Film Cooling Flows: An a Priori Study 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 146 ):;issue: 008:;page 81019-1
    Author(s): Kumar, Tadbhagya; Pal, Pinaki; Wu, Sicong; Nunno, A. Cody; Owoyele, Opeoluwa; Joly, Michael M.; Tretiak, Dima
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this work, a priori analysis of machine learning (ML) strategies is carried out with the goal of data-driven wall modeling for large eddy simulation (LES) of gas turbine film cooling flows. High-fidelity flow datasets ...
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