Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks

Documenti analoghi

• Invariant Control Strategies for Active Flow Control using Graph Neural Networks
  di: Kurz, Marius, et al.
  Pubblicazione: (2025)
• Energy-Conserving Neural Network for Turbulence Closure Modeling
  di: van Gastelen, Toby, et al.
  Pubblicazione: (2023)
• Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments
  di: Shende, Takshak, et al.
  Pubblicazione: (2026)
• Quantifying Out-of-Training Uncertainty of Neural-Network based Turbulence Closures
  di: Grogan, Cody, et al.
  Pubblicazione: (2025)
• FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
  di: Raut, Riddhiman, et al.
  Pubblicazione: (2025)