Antônio Guimarães Ferri
Abstract
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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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
Key concepts: Supersonic speed, Mixing (physics), Field (mathematics), Fluid mechanics, Combustion, Computer science, Scale (ratio), Aerospace engineering