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  1. 1
    Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow

    Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow von Pioch, Fabian, Harmening, Jan Hauke, Müller, Andreas Maximilian, Peitzmann, Franz-Josef, Schramm, Dieter, el Moctar, Ould

    Veröffentlicht in Fluids (Basel)

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  2. 2
    Data-assisted training of a physics-informed neural network to predict the separated Reynolds-averaged turbulent flow field around an airfoil under variable angles of attack

    Data-assisted training of a physics-informed neural network to predict the separated Reynolds-averaged turbulent flow field around an airfoil under variable angles of attack von Harmening, Jan Hauke, Pioch, Fabian, Fuhrig, Lennart, Peitzmann, Franz-Josef, Schramm, Dieter, el Moctar, Ould

    Veröffentlicht in Neural computing & applications

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