High-efficiency prediction of water adsorption performance of porous adsorbents by lattice grand canonical Monte Carlo molecular simulation

A lattice GCMC method (LGCMC) was attempted to accurately and rapidly simulate the water adsorption performance of adsorbents using a coarse-grained Molinero water (mW) model.

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Publication Details

Journal
RSC Applied Interfaces
Published
2024-11-18
DOI
https://doi.org/10.1039/d4lf00354c
Citations
9
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
1.05

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article

High-efficiency prediction of water adsorption performance of porous adsorbents by lattice grand canonical Monte Carlo molecular simulation

Song Li, Zhilu Liu, Wei Li
9 citations
RSC Applied Interfaces
Catalytic Processes in Materials Science
1.05
article

High-efficiency prediction of water adsorption performance of porous adsorbents by lattice grand canonical Monte Carlo molecular simulation

Song Li, Zhilu Liu, Wei Li
article en
9 citations

Abstract

A lattice GCMC method (LGCMC) was attempted to accurately and rapidly simulate the water adsorption performance of adsorbents using a coarse-grained Molinero water (mW) model.

RSC Applied InterfacesVol. 2(1)
Jinan University (CN), Huazhong University of Science and Technology (CN)
Georgia Institute of Technology, Northwestern University, National Natural Science Foundation of China
Openalex Percentile: Top 20%
Catalytic Processes in Materials Science
1.05
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