Clustering dimensionless learning for multiple-physical-regime systems

DOI10.1016/j.cma.2023.116728OpenAlexW4391493458MaRDI QIDQ6194199

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Publication date: 19 March 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2023.116728

zbMATH Keywords

clustermachine learningactive subspacedata-driven dimensional analysis

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Geophysics (86-XX)

Cites Work

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• Dimensional Analysis
• Modified Active Subspaces Using the Average of Gradients
• Cluster-based network model
• High–Reynolds Number Wall Turbulence
• Composition of resolvents enhanced by random sweeping for large-scale structures in turbulent channel flows
• Discovery of PDEs driven by data with sharp gradient or discontinuity

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