148 citations · 186 across the 8 of their papers we have counts for
12 papers
DeepAngle: Fast calculation of contact angles in tomography images using deep learning
Arash Rabbani, Chenhao Sun, Masoud Babaei +3
DeepAngle is a machine learning-based method to determine the contact angles of different phases in the tomography images of porous materials. Measurement of angles in 3--D needs t…
Universal description of wetting on multiscale surfaces using integral geometry
Chenhao Sun, James McClure, Steffen Berg +2
Hypothesis Emerging energy-related technologies deal with multiscale hierarchical structures, intricate surface morphology, non-axisymmetric interfaces, and complex contact lines w…
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…
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…
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…
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…