106 citations · 106 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2021★ 106 cited
Graph neural networks for laminar flow prediction around random 2D shapes
Junfeng Chen, Elie Hachem, Jonathan Viquerat
In the recent years, the domain of fast flow field prediction has been vastly dominated by pixel-based convolutional neural networks. Yet, the recent advent of graph convolutional…
physics.flu-dyn2021
A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles
Junfeng Chen, Jonathan Viquerat, Frederic Heymes +1
Over the past few years, deep learning methods have proved to be of great interest for the computational fluid dynamics community, especially when used as surrogate models, either…