18 citations · 19 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2024★ 1 cited
Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
Zijie Su, Yunpu Liu, Sheng Pan +2
Physics-Informed Neural Networks (PINN) has evolved into a powerful tool for solving partial differential equations, which has been applied to various fields such as energy, enviro…
cs.GR2023★ 18 cited
A novel explicit design method for complex thin-walled structures based on embedded solid moving morphable components
Wendong Huo, Chang Liu, Yunpu Liu +3
In this article, a novel explicit approach for designing complex thin-walled structures based on the Moving Morphable Component (MMC) method is proposed, which provides a unified f…