Prediction of Adsorption and Diffusion Behaviors of CO<sub>2</sub> and CH<sub>4</sub> in All-Silica Zeolites Using Molecular Simulation

Computational chemistry is a promising technique for the prediction of material properties. Adsorption and diffusion behaviors in zeolite micropores are important for zeolite membranes. In this study, we investigated novel non-bonding interaction parameters of all-silica zeolites for the prediction...

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Bibliographic Details
Main Authors: Yasuhisa Hasegawa, Chie Abe
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Membranes
Subjects:
Online Access:https://www.mdpi.com/2077-0375/11/6/392
Description
Summary:Computational chemistry is a promising technique for the prediction of material properties. Adsorption and diffusion behaviors in zeolite micropores are important for zeolite membranes. In this study, we investigated novel non-bonding interaction parameters of all-silica zeolites for the prediction of the adsorption and diffusion behaviors by focusing on the Si atom of zeolite frameworks. Our parameters (σ = 0.421 nm, ε = 0.954 kJ mol<sup>−1</sup>, and q = +1.10 e) were close to theoretically derived values, and the adsorption isotherms of CO<sub>2</sub> and CH<sub>4</sub> on several zeolites could be predicted with high accuracy. Furthermore, the parameters gave the suitable self-diffusivities of CO<sub>2</sub> and CH<sub>4</sub> within MFI-type zeolite micropores through molecular dynamics simulation. Those suggest that our derived parameters are useful for selecting zeolite structure as the membrane material.
ISSN:2077-0375