Assimilation of statistical data into turbulent flows using physics-informed neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces and Interfaces,General Materials Science,General Chemistry,Biophysics,Biotechnology
Link
https://link.springer.com/content/pdf/10.1140/epje/s10189-023-00268-9.pdf
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5. M. Chantry, H. Christensen, P. Dueben, T. Palmer, Opportunities and challenges for machine learning in weather and climate modelling: Hard, medium and soft AI. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 379(2194), 20200083 (2021). https://doi.org/10.1098/rsta.2020.0083. (Accessed 11 March 2021)
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