316 citations · 319 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2024★ 2 cited
Data-Driven Turbulence Modeling Approach for Cold-Wall Hypersonic Boundary Layers
Muhammad I. Zafar, Xuhui Zhou, Christopher J. Roy +2
Wall-cooling effect in hypersonic boundary layers can significantly alter the near-wall turbulence behavior, which is not accurately modeled by traditional RANS turbulence models.…
physics.comp-ph2023★ 1 cited
Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations
Xu-Hui Zhou, Jiequn Han, Muhammad I. Zafar +4
Recently, the use of neural networks to accelerate the solving of partial differential equations (PDEs) has gained significant traction in both academia and industry. However, empl…
physics.comp-ph2015★ 316 cited
Quantifying and Reducing Model-Form Uncertainties in Reynolds-Averaged Navier-Stokes Simulations: A Data-Driven, Physics-Based Bayesian Approach
H. Xiao, J. -L. Wu, J. -X. Wang +2
Despite their well-known limitations, Reynolds-Averaged Navier-Stokes (RANS) models are still the workhorse tools for turbulent flow simulations in today's engineering application.…