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ENTITY Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

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    Neural networks reduce complexity in turbulent flow simulations for vehicle design

    Researchers have developed a new neural network-based method for reducing the complexity of computational fluid dynamics simulations, specifically for predicting turbulent flow around various vehicle geometries. This ap…