Machine learning (ML) models for predicting gas permeability through polymers have traditionally relied on experimental data. While these models exhibit robustness within familiar chemical domains, ...

Predicting the transport properties of porous materials from their structure is important in numerical simulations of a wide range of engineering problems, e.g., extraction of nature gas from shale ...

In this article, we discuss the laser flash diffusivity method’s working principle, applications, its advantages over other methods, and finally its limitations and research directed towards ...

Thermal diffusivity is a measure of the speed at which heat propagates in a medium by conduction when the temperature varies with time. It is a thermophysical property whose value is directly ...