Nonlinear projection-based model order reduction with machine learning regression for closure error modeling in the latent space

Documenti analoghi

• Nonintrusive projection-based reduced order modeling using stable learned differential operators
  di: Prakash, Aviral, et al.
  Pubblicazione: (2024)
• Statistical machine learning tools for probabilistic closures of turbulence models
  di: Lemos, Julia Domingues, et al.
  Pubblicazione: (2025)
• Numerical simulation of rarefied supersonic flows using a fourth-order maximum-entropy moment method with interpolative closure
  di: Boccelli, Stefano, et al.
  Pubblicazione: (2024)
• Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control
  di: Fukagata, Koji, et al.
  Pubblicazione: (2025)
• Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
  di: Gupta, Priyam, et al.
  Pubblicazione: (2023)