54 citations · 64 across the 5 of their papers we have counts for
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physics.flu-dyn2024★ 1 cited
Discovery of knowledge of wall-bounded turbulence via symbolic regression
ZhongXin Yang, XiangLin Shan, WeiWei Zhang
With the development of high performance computer and experimental technology, the study of turbulence has accumulated a large number of high fidelity data. However, few general tu…
physics.flu-dyn2024★ 54 cited
A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation
Wenbo Cao, Jiahao Song, Weiwei Zhang
Physics-informed neural networks (PINNs) have recently become a new popular method for solving forward and inverse problems governed by partial differential equations (PDEs). Howev…
physics.flu-dyn2022
Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture
Kuijun Zuo, Shuhui Bu, Weiwei Zhang +3
In order to obtain the information about flow field, traditional computational fluid dynamics methods need to solve the Navier-Stokes equations on the mesh with boundary conditions…