Divergence-aware adaptive prediction framework for accelerating CFD simulations of unsteady flows

Documenti analoghi

• Generative artificial intelligence and hybrid models to accelerate LES in reactive flows: Application to hydrogen/methane combustion
  di: Zou, Xiangrui, et al.
  Pubblicazione: (2025)
• Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
  di: Sengupta, Arindam, et al.
  Pubblicazione: (2025)
• An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning
  di: Abadía-Heredia, Rodrigo, et al.
  Pubblicazione: (2025)
• Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide
  di: Lazpita, Eneko, et al.
  Pubblicazione: (2024)
• HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics
  di: Barragán, Guillermo, et al.
  Pubblicazione: (2025)