The transformative potential of machine learning for experiments in fluid mechanics
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Link
https://www.nature.com/articles/s42254-023-00622-y.pdf
Reference128 articles.
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4. Vinuesa, R. & Brunton, S. L. Enhancing computational fluid dynamics with machine learning. Nat. Comput. Sci. 2, 358–366 (2022).
5. LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).
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