Operator learning of RANS equations: a Graph Neural Network closure model - DAta science, TrAnsition, Fluid instabiLity, contrOl, Turbulence Accéder directement au contenu
Poster De Conférence Année : 2023

Dates et versions

hal-04407775 , version 1 (21-01-2024)

Identifiants

  • HAL Id : hal-04407775 , version 1

Citer

Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Operator learning of RANS equations: a Graph Neural Network closure model. The mathematical and statistical foundation of future data-driven engineering -- Computational Challenges and Emerging Tools, Apr 2023, Cambridge, United Kingdom. ⟨hal-04407775⟩
22 Consultations
3 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More