3 papers
physics.comp-ph2025
Very High-order Compact Gas-kinetic Scheme With Discontinuity Feedback Factor
Junlei Mu, Hong Zhang, Xing Ji +3
This paper presents a robust and efficient very high-order scheme for compressible flow simulation, addressing critical limitations of existing high-order methods. The proposed sch…
physics.comp-ph2020
Hybrid deep neural network based prediction method for unsteady flows with moving boundaries
Renkun Han, Zhong Zhang, Yixing Wang +3
A novel hybrid deep neural network architecture is designed to capture the spatial-temporal features of unsteady flows around moving boundaries directly from high-dimensional unste…
physics.flu-dyn2019
A new prediction method of unsteady wake flow by the hybrid deep neural network
Renkun Han, Yixing Wang, Yang Zhang +1
The fast and accurate prediction of unsteady flow becomes a serious challenge in fluid dynamics, due to the high-dimensional and nonlinear characteristics. A novel hybrid deep neur…