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BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed
  deep learning

BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning

15 May 2021
Hanfeng Zhai
Quan Zhou
G. Hu
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning"

3 / 3 papers shown
Title
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sizhuang He
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
235
2,287
0
18 Oct 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time
  Super-Resolution Framework
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang
S. Esmaeilzadeh
Kamyar Azizzadenesheli
K. Kashinath
Mustafa A. Mustafa
H. Tchelepi
P. Marcus
P. Prabhat
Anima Anandkumar
AI4CE
187
141
0
01 May 2020
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