2019
DOI: 10.1021/acs.jpcc.9b09187
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Efficient Method To Obtain the Force Field for CO2 Adsorption on Zeolite 13X: Understanding the Host–Guest Interaction Mechanisms of Low-Pressure Adsorption

Abstract: The current force fields used in grand canonical Monte Carlo (GCMC) simulations are frequently found to underestimate the low-pressure adsorption of CO 2 on zeolite 13X, which is crucial for engineering applications, including air prepurification and carbon capture from air. In this paper, a series of GCMC simulations are performed with a cation-free 13X model to study the influence of the force field parameters for host−guest interaction pairs on low-pressure adsorption. The unique effects of the equilibrium … Show more

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Cited by 9 publications
(4 citation statements)
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“…In each simulation, 1 × 10 5 MC cycles were used as production steps and an additional 1 × 10 5 MC cycles were used as equilibrium steps (an MC cycle is a series of steps defined in RASPA). These settings produced accurate results for CO 2 adsorption on faujasite zeolite in our previous study …”
Section: Computational and Experimental Methodsmentioning
confidence: 77%
See 1 more Smart Citation
“…In each simulation, 1 × 10 5 MC cycles were used as production steps and an additional 1 × 10 5 MC cycles were used as equilibrium steps (an MC cycle is a series of steps defined in RASPA). These settings produced accurate results for CO 2 adsorption on faujasite zeolite in our previous study …”
Section: Computational and Experimental Methodsmentioning
confidence: 77%
“…These settings produced accurate results for CO 2 adsorption on faujasite zeolite in our previous study. 57 l…”
Section: Computational and Experimentalmentioning
confidence: 99%
“…Previous studies have shown that the adsorption in cationic zeolites is sensitive to the position of the cations within the zeolite during the simulation. Figure shows that the accessible volume of silica LTA is very similar in flexible and rigid structures. We characterized the positions of the Na cations in the cationic material, finding no difference between the rigid and flexible structures within the uncertainty of our data (Table ).…”
Section: Resultsmentioning
confidence: 84%
“…The accuracy of CCFF in predicting self-diffusivities was compared to experimental data in Figures – and also to predictions based on 14 previous force fields (see Table S12) from the literature in Figures S20–S24 in the Supporting Information. The latter comparison between CCFF and literature force fields was done for CH 4 , CO 2 , and N 2 in Na-exchanged zeolite X/Y, and CO 2 and N 2 in 4A.…”
Section: Force Field Predictions For Diffusionmentioning
confidence: 99%