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Deep convolutional surrogates and degrees of freedom in thermal design

Deep convolutional surrogates and degrees of freedom in thermal design

16 August 2022
Hadi Keramati
F. Hamdullahpur
    AI4CE
ArXivPDFHTML

Papers citing "Deep convolutional surrogates and degrees of freedom in thermal design"

2 / 2 papers shown
Title
Applying Machine Learning to Study Fluid Mechanics
Applying Machine Learning to Study Fluid Mechanics
Steven L. Brunton
PINN
AI4CE
39
95
0
05 Oct 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
1