Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks
DOI10.1017/jfm.2023.573zbMath1525.76080MaRDI QIDQ6096862
Fabio Bonaccorso, Tian-Yi Li, Luca Biferale, Shiyi Chen, Minping Wan, Unnamed Author
Publication date: 15 September 2023
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
machine learningdata-driven methodgenerative adversarial networkrotating turbulencelinear model reductionnonlinear convolutional neural network
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) General theory of rotating fluids (76U05) Turbulence (76F99) Basic methods in fluid mechanics (76M99)
Cites Work
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- Interpolation of spatial data. Some theory for kriging
- Extended proper orthogonal decomposition: Application to jet/vortex interaction
- Gappy data: to krig or not to krig?
- Transition and Turbulence Control
- Low-dimensional characteristics of a transonic jet. Part 2. Estimate and far-field prediction
- 3. Inconsistent systems of linear equations
- Active turbulence control for drag reduction in wall-bounded flows
- Scaling laws for mixing and dissipation in unforced rotating stratified turbulence
- Gappy data and reconstruction procedures for flow past a cylinder
- Prediction of turbulent heat transfer using convolutional neural networks
- Critical transition in fast-rotating turbulence within highly elongated domains
- Energy-flux vector in anisotropic turbulence: application to rotating turbulence
- Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
- Unsupervised deep learning for super-resolution reconstruction of turbulence
- Condensates in rotating turbulent flows
- On the use of kriging for enhanced data reconstruction in a separated transitional flat-plate boundary layer
- Data Assimilation
- Turbulence, Coherent Structures, Dynamical Systems and Symmetry
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