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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
99
0
0
12 Sep 2024
Generative prediction of flow field based on the diffusion model
Generative prediction of flow field based on the diffusion model
Jiajun Hu
Zhen Lu
Yue Yang
AI4CE
22
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
32
140
0
03 Jan 2021
1