Cluster-based network model
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Publication:5144527
DOI10.1017/jfm.2020.785zbMath1461.76276arXiv2001.02911OpenAlexW3100490547MaRDI QIDQ5144527
R. Semaan, Marek Morzyński, Daniel Fernex, Bernd R. Noack, Hao Li, Jian-Guo Tan
Publication date: 18 January 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2001.02911
Related Items (6)
Clustering dimensionless learning for multiple-physical-regime systems ⋮ Unsupervised modelling of a transitional boundary layer ⋮ Stabilization of the fluidic pinball with gradient-enriched machine learning control ⋮ Data-driven resolvent analysis ⋮ 9 From the POD-Galerkin method to sparse manifold models ⋮ Cluster-based hierarchical network model of the fluidic pinball – cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
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