activity
20182023
most citedSuper Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images

148 citations · 444 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

physics.flu-dyn2020★ 38 cited

Capillary fluctuations and energy dynamics for flow in porous media

James E. McClure, Steffen Berg, Ryan T. Armstrong

Capillary energy barriers have important consequences for immiscible fluid flow in porous media. We derive time-and-space averaging theory to account for non-equilibrium behavior a…

cond-mat.soft2020

Thermodynamics of fluctuations based on time-and-space averages

James E. McClure, Steffen Berg, Ryan T. Armstrong

We develop non-equilibrium theory by using averages in time and space as a generalized way to upscale thermodynamics in non-ergodic systems. The approach offers a classical perspec…

physics.flu-dyn2020★ 2 cited

Characterization of wetting using topological principles

Chenhao Sun, James E. McClure, Peyman Mostaghimi +5

Hypothesis Understanding wetting behavior is of great importance for natural systems and technological applications. The traditional concept of contact angle, a purely geometrical…

physics.flu-dyn2020★ 13 cited

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…

eess.IV2020★ 19 cited

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong +1

Segmentation of 3D micro-Computed Tomographic uCT) images of rock samples is essential for further Digital Rock Physics (DRP) analysis, however, conventional methods such as thresh…