2 papers
physics.flu-dyn2026
Data-driven impeller model for efficient large eddy simulations of metastable von Kármán flows
Quentin Malé, Quentin Malé, Lucas Amoudruz +6
The von Kármán turbulent swirling flow exhibits intriguing large-scale metastable dynamics, including low-frequency state switching. The study of state switching demands long-durat…
cs.CE2024
Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation
Quentin Malé, Corentin J Lapeyre, Nicolas Noiray
This paper establishes a data-driven modeling framework for lean Hydrogen (H2)-air reaction rates for the Large Eddy Simulation (LES) of turbulent reactive flows. This is particula…