Enhancing computational fluid dynamics with machine learning

Author:

Vinuesa Ricardo,Brunton Steven L.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Reference150 articles.

1. Godunov, S. & Bohachevsky, I. Finite difference method for numerical computation of discontinuous solutions of the equations of fluid dynamics. Mat. Sb. 47, 271–306 (1959).

2. Eymard, R., Gallouët, T. & Herbin, R. Finite volume methods. Handb. Numer. Anal. 7, 713–1018 (2000).

3. Zienkiewicz, O. C., Taylor, R. L., Nithiarasu, P. & Zhu, J. Z. The Finite Element Method, 3 (Elsevier, 1977).

4. Canuto, C., Hussaini, M. Y., Quarteroni, A. & Zang, T. A. Spectral Methods in Fluid Dynamics (Springer Science & Business Media, 2012).

5. Brunton, S. L. & Kutz, J. N. Data-Driven Science and Engineering: Machine Learning, Dynamical Systems and Control (Cambridge Univ. Press, 2019).

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