15 citations · 15 across the 3 of their papers we have counts for
3 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.…
physics.flu-dyn2014
Triple Point Collision and Origin of Unburned Gas Pockets in Irregular Detonations
Yasser Mahmoudi, Kiumars Mazaheri
The turbulent structure of an irregular detonation is studied through very high resolution numerical simulations of 600 points per half reaction length. The aim is to explore the n…