24 citations · 27 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 3 cited
Reduced-order variational mode decomposition
Zi-Mo Liao, Zhiye Zhao, Liang-Bing Chen +3
A novel data-driven method of modal analysis for complex flow dynamics, termed as reduced-order variational mode decomposition (RVMD), has been proposed, combining the idea of the…
physics.flu-dyn2021★ 24 cited
Investigation of nonlocal data-driven methods for subgrid-scale stress modelling in large eddy simulation
Bo Liu, Huiyang Yu, Haibo Huang +1
A nonlocal subgrid-scale stress (SGS) model is developed based on the convolution neural network (CNN), a powerful supervised data-driven approach. The CNN is an ideal approach to…