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Machine Learning for Fluid Dynamics
Thursday Dec 10 2020 17:00 GMT
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Machine Learning for Fluid Dynamics
Why This Is Interesting

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 information from data that can be translated into knowledge about the underlying fluid mechanics. Moreover, ML algorithms can augment domain knowledge and automate tasks related to flow control and optimization. This article presents an overview of past history, current developments, and emerging opportunities of ML for fluid mechanics.

Time of Recording: Thursday Dec 10 2020 17:00 GMT