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Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks. (arXiv:2205.04739v1 [physics.flu-dyn])
cs.LG updates on arXiv.org arxiv.org
This paper introduces a novel neural network -- the flow completion network
(FCN) -- to infer the fluid dynamics, including the flow field and the force
acting on the body, from the incomplete data based on Graph Convolution
Attention Network. The FCN is composed of several graph convolution layers and
spatial attention layers. It is designed to infer the velocity field and the
vortex force contribution of the flow field when combined with the vortex force
map (VFM) method. Compared …
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