15 citations · 15 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2025
Uncertainty and Error Quantification for Data-Driven Reynolds-Averaged Turbulence Modelling with Mean-Variance Estimation Networks
Anthony Man, Mohammad Jadidi, Amir Keshmiri +2
Amid growing interest in machine learning, numerous data-driven models have recently been developed for Reynolds-averaged turbulence modelling. However, their results generally sho…
physics.flu-dyn2024★ 15 cited
A Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows
Anthony Man, Mohammad Jadidi, Amir Keshmiri +2
In this paper, a novel zonal machine learning (ML) approach for Reynolds-averaged Navier-Stokes (RANS) turbulence modelling based on the divide-and-conquer technique is introduced.…