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Stacked Generative Machine Learning Models for Fast Approximations of
  Steady-State Navier-Stokes Equations

Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations

13 December 2021
Shen Wang
M. Nikfar
Joshua C. Agar
Yaling Liu
    PINN
    DiffM
    AI4CE
ArXivPDFHTML

Papers citing "Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations"

3 / 3 papers shown
Title
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed
  Loss
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss
Rishi Sharma
A. Farimani
Joseph Gomes
Peter K. Eastman
Vijay S. Pande
AI4CE
25
60
0
24 Jul 2018
Deep Learning the Physics of Transport Phenomena
Deep Learning the Physics of Transport Phenomena
A. Farimani
Joseph Gomes
Vijay S. Pande
AI4CE
BDL
37
110
0
07 Sep 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
1