A data-driven method for modelling dissipation rates in stratified turbulence
DOI10.1017/jfm.2023.679zbMath1530.76058OpenAlexW4390026374MaRDI QIDQ6144468
Unnamed Author, S. M. de Bruyn Kops, Colm-cille P. Caulfield, Unnamed Author
Publication date: 5 January 2024
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jfm.2023.679
turbulent kinetic energymachine learningstratified turbulencedeep probabilistic convolutional neural networkdensity variancedifferential sensitivity analysissmall-scale isotropy
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Basic methods in fluid mechanics (76M99) Stratification effects in turbulence (76F45)
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