Clustering the Flow: A Data-Driven Framework for Pattern Discovery in Fluid Dynamics

Documenti analoghi

• HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics
  di: Barragán, Guillermo, et al.
  Pubblicazione: (2025)
• The coherent structures of EVP Fluid Flow Past a Circular Cylinder
  di: Corrochano, Adrián, et al.
  Pubblicazione: (2025)
• Characterizing Intraventricular Flow Patterns via Modal Decomposition Techniques in Idealized Left Ventricle Models
  di: Lazpita, Eneko, et al.
  Pubblicazione: (2025)
• Generative artificial intelligence and hybrid models to accelerate LES in reactive flows: Application to hydrogen/methane combustion
  di: Zou, Xiangrui, et al.
  Pubblicazione: (2025)
• Efficient Reduced Order Modeling Based on HODMD to Predict Intraventricular Flow Dynamics
  di: Lazpita, Eneko, et al.
  Pubblicazione: (2025)