1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2026
Thermochemical non-equilibrium effects on turbulent boundary layers
Jun-Yang Li, Ming Yu, Dong Sun +3
This investigation employs direct numerical simulations (DNS) of high-Mach-number turbulent boundary layers under three flow conditions: a low-enthalpy calorically perfect gas, and…
physics.flu-dyn2024
QLingNet: An efficient and flexible modeling framework for subsonic airfoils
Kuijun Zuo, Zhengyin Ye, Linyang Zhu +2
Artificial intelligence techniques are considered an effective means to accelerate flow field simulations. However, current deep learning methods struggle to achieve generalization…
physics.flu-dyn2023★ 1 cited
Fast simulation of airfoil flow field via deep neural network
Kuijun Zuo, Zhengyin Ye, Shuhui Bu +2
Computational Fluid Dynamics (CFD) has become an indispensable tool in the optimization design, and evaluation of aircraft aerodynamics. However, solving the Navier-Stokes (NS) equ…