<ul><li>Researchers have developed hybrid machine learning models for fluid flow simulations.</li><li>The models integrate High-Order Singular Value Decomposition (HOSVD) with Long Short-Term Memory (LSTM) architectures.</li><li>HOSVD improves dimensionality reduction by preserving multidimensional structures.</li><li>The models demonstrate improved accuracy and reliability in predicting complex fluid dynamics.</li></ul>

Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models

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