With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

For material modeling and discovery, synthetic microstructures play a critical role as digital
twins. They provide stochastic samples upon which direct numerical simulations can be …

Digital rock technology is becoming essential in reservoir engineering and petrophysics.
Three-dimensional digital rock reconstruction, image resolution enhancement, image …

The complex and multiscale nature of shale gas transport imposes new challenges to the
already well-developed techniques for conventional reservoirs, especially digital core …

Various rocks such as carbonate, coal or shale contain both micro-and macro-pores. To
accurately predict the fluid flow and mechanical properties of these porous media, a multi …

Porous energy materials are essential components of many energy devices and systems,
the development of which have been long plagued by two main challenges. The first is the …

Accurate recognition of rock fractures is an important problem in rock engineering because
fractures greatly influence the mechanical and hydraulic properties of rock structures …

The reconstruction of porous media is important to the development of petroleum industry,
but the accurate characterization of the internal structures of porous media is difficult since …

The characterization of 3D structures in porous media is crucial for predicting physical
properties in many industries, such as CO2 capture and storage, hydrology, oil & gas. In …