2 papers
physics.flu-dyn2024
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-dyn2024
A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
Chang Yan, Shengfeng Xu, Zhenxu Sun +3
Various types of measurement techniques, such as Light Detection and Ranging (LiDAR) devices, anemometers, and wind vanes, are extensively utilized in wind energy to characterize t…