A variety of performance demands are being placed on material systems, including
desirable mechanical, thermal, electrical, optical, acoustic and flow properties. The purpose …

Permeability is the key variable for reservoir characterization used for estimating the flow
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …

Natural gas hydrates (NGHs) are regarded as a new energy resource with great potential
and wide application prospects due to their tremendous reserves and low CO2 emission …

The geometrical and topological configurations of particles have great influences on their
surrounding pore tortuosity and the permeability of granular‐porous media. In this work, we …

Effective properties of functional materials crucially depend on their 3D microstructure. In this
paper, we investigate quantitative relationships between descriptors of two-phase …

We propose a novel deep learning framework for predicting the permeability of porous
media from their digital images. Unlike convolutional neural networks, instead of feeding the …

Sintered materials are used as permeable filters and flow controllers, for which a validated
and general model of porosity and permeability is required. Here, we prepare samples built …

The paper is focused on high efficiency Stokes solver that is applied to the incompressible
flow in porous media. Computational domains are represented by binarized 3D computed …

Correlation functions (CFs) are universal structural descriptors; surface-surface F ss and
surface-void F sv CFs are a subset containing additional information about the interface …

Understanding the microstructure–property relationships of porous media is of great
practical significance, based on which macroscopic physical properties can be directly …