Computational review demonstrates machine learning integration across multiscale fluid dynamics, suggesting enhanced predictive modeling for oscillating bluff bodies.
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More
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Peter Bearman (1984) studied this question.
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