Theory and Modeling of Transport for Simple Fluids in Nanoporous Materials: From Microscopic to Coarse-Grained Descriptions

TL;DR

This paper reviews advanced theoretical, simulation, and coarse-graining methods for modeling gas and liquid transport in nanoporous materials, emphasizing molecular transport coefficients and energy barriers in simple fluids.

Contribution

It provides a comprehensive overview of atomistic and mesoscopic modeling strategies for transport in nanoporous materials, integrating various formal approaches and upscaling techniques.

Findings

Different molecular transport coefficients are analyzed.

Energy barriers significantly influence adsorption and separation rates.

Hierarchical simulations and upscaling strategies are discussed.

Abstract

We present the state-of-the-art theoretical modeling, molecular simulation, and coarse-graining strategies for the transport of gases and liquids in nanoporous materials (pore size 1-100 nm). Special emphasis is placed on the transport of small molecules in zeolites, active carbons, metal-organic frameworks, but also in nanoporous materials with larger pores such as ordered and disordered mesoporous oxides. We present different atomistic and mesoscopic methods as well as the theoretical formalisms. Attention is given to the investigation of different molecular transport coefficients - including the self, collective and transport diffusivities - but also to the determination of free energy barriers and their role in overall adsorption/separation process rates. We also introduce other available approaches such as hierarchical simulations and upscaling strategies. This review focuses on simple fluids in prototypical nanoporous materials. While the phenomena covered here capture the main physical mechanisms in such systems, complex molecules will exhibit additional specific features. For the sake of clarity and brevity, we also omit multicomponent systems (e.g. fluid mixtures, electrolytes, etc.) and electrokinetic effects arising when charged systems are considered (ionic species, charged surfaces, etc.), both of which add to the complexity.