1 citations · 2 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2024★ 1 cited
On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics
Shengfeng Xu, Chang Yan, Zhenxu Sun +3
Physics-Informed Neural Networks (PINNs) serve as a flexible alternative for tackling forward and inverse problems in differential equations, displaying impressive advancements in…
physics.flu-dyn2019★ 1 cited
Numerical study of the behaviors of ventilated supercavities in a periodic gust flow
Renfang Huang, Siyao Shao, Roger E A Arndt +2
We conducted a numerical simulation of ventilated supercavitation from a forward-facing cavitator in unsteady flows generated by a gust generator under different gust angles of att…