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.
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.