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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Publication Info
- Year
- 1986
- Type
- article
- Volume
- 18
- Issue
- 1
- Pages
- 15-29
- Citations
- 57
- Access
- Closed
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Identifiers
- DOI
- 10.1146/annurev.fl.18.010186.000311