148 citations · 161 across the 2 of their papers we have counts for
3 papers
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
Ying Da Wang, Traiwit Chung, Ryan T. Armstrong +1
Simulation of fluid flow in porous media has many applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale (groundwater, hydrocarbon reservoirs, and geoth…
Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning
Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi
Digital Rock Imaging is constrained by detector hardware, and a trade-off between the image field of view (FOV) and the image resolution must be made. This can be compensated for w…
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images
Ying Da Wang, Ryan Armstrong, Peyman Mostaghimi
Single Image Super Resolution (SISR) techniques based on Super Resolution Convolutional Neural Networks (SRCNN) are applied to micro-computed tomography (μCT) images of sandstone a…