Search Results for author: Traiwit Chung

Found 2 papers, 2 papers with code

DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials

1 code implementation • 3 May 2020 • Arash Rabbani, Masoud Babaei, Reza Shams, Ying Da Wang, Traiwit Chung

DeePore is a deep learning workflow for rapid estimation of a wide range of porous material properties based on the binarized micro-tomography images.

Physical Simulations

Paper
Code

ML-LBM: Machine Learning Aided Flow Simulation in Porous Media

1 code implementation • 22 Apr 2020 • Ying Da Wang, Traiwit Chung, Ryan T. Armstrong, Peyman Mostaghimi

In the tortuous flow paths of porous media, Deep Learning techniques based on Convolutional Neural Networks (CNNs) are shown to give an accurate estimate of the steady state velocity fields (in all axes), and by extension, the macro-scale permeability.

BIG-bench Machine Learning

Paper
Code

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