July 7, 2022, 1:11 a.m. | Xiaodong He (1), Yinan Wang (2), Juan Li (3) ((1) Department of R and D, UnionString Technology Co. Ltd., (2) School of Engineering, University of Liv

cs.LG updates on arXiv.org arxiv.org

This paper introduces a novel neural network - flow completion network (FCN)
- to infer the fluid dynamics, includ-ing the flow field and the force acting
on the body, from the incomplete data based on Graph Convolution
AttentionNetwork. The FCN is composed of several graph convolution layers and
spatial attention layers. It is designed to inferthe velocity field and the
vortex force contribution of the flow field when combined with the vortex force
map (VFM)method. Compared with other neural networks …

arxiv dynamics flow fluid dynamics graph graph neural networks information network networks neural networks physics

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