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PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction

PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction

12 April 2024
Siming Shan
Pengkai Wang
Song Chen
Jiaxu Liu
Chao Xu
Shengze Cai
    AI4CE
    DiffM
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Papers citing "PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction"

3 / 3 papers shown
Title
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
Generative prediction of flow fields around an obstacle using the diffusion model
Generative prediction of flow fields around an obstacle using the diffusion model
Jiajun Hu
Zhen Lu
Yue Yang
AI4CE
40
2
0
30 Jun 2024
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
1