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Flow Completion Network: Inferring the Fluid Dynamics from Incomplete
  Flow Information using Graph Neural Networks

Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks

10 May 2022
Xiaodong He
Yinan Wang
Juan Li
    GNN
ArXivPDFHTML

Papers citing "Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks"

5 / 5 papers shown
Title
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
114
0
0
13 Feb 2025
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
107
0
0
12 Sep 2024
Predicting fluid-structure interaction with graph neural networks
Predicting fluid-structure interaction with graph neural networks
Rui Gao
R. Jaiman
AI4CE
21
7
0
09 Oct 2022
Global field reconstruction from sparse sensors with Voronoi
  tessellation-assisted deep learning
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
51
143
0
03 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1