189 citations · 189 across the 2 of their papers we have counts for
2 papers
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★ 189 cited
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…