Physics-Informed Neural Networks Enhanced Particle Tracking Velocimetry: An Example for Turbulent Jet Flow
Shengze Cai(ZheJiang Institute For Food and Drug Control), George Em Karniadakis(Brown University), Callum Gray(MicroVision (United States))
Cited by 37
Related Papers
Physics-informed neural networks (PINNs) for fluid mechanics: a review
|Acta Mechanica Sinica|2021|1.8k
NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations
|Journal of Computational Physics|2020|1.1k
Physics-Informed Neural Networks for Heat Transfer Problems
|Journal of Heat Transfer|2021|1.1k
Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks
|Journal of Fluid Mechanics|2021|333
Dense motion estimation of particle images via a convolutional neural network
|Experiments in Fluids|2019|206