Literature DB >> 33646743

Construction of an Anion-Pillared MOF Database and the Screening of MOFs Suitable for Xe/Kr Separation.

Chenkai Gu1,2, Zhenzi Yu2, Jing Liu1, David S Sholl2.   

Abstract

The separation of xenon/krypton (Xe/Kr) mixtures is a challenging process. Many porous materials allow the adsorption of both Xe and Kr but only with low selectivity. Anion-pillared metal-organic frameworks (MOFs), featuring the anion groups as structural pillars, show potential in gas separations, but only a limited number of them have been synthesized. Here, we describe a collection of 936 anion-pillared MOFs based on 22 experimentally available structures. We performed density functional theory (DFT) optimization and then assigned density-derived electrostatic and chemical (DDEC) charges for each MOF to make them well suited to molecular simulations. The structural properties of the MOFs vary more strongly with the choice of the organic ligand than with other aspects like fluorine groups and metal centers. We then screened the entire collection of MOFs in the context of Xe/Kr separation at room temperature. Compared with previously reported MOFs, the interpenetrated MOF SIFSIX-6-Cd-i is predicted to perform better for Xe/Kr separations, with a good balance between working capacity (1.62 mmol/g) and separation selectivity (16.4) at 298 K and 100 kPa. We also found that the heterogeneity of fluorine groups within a MOF can help to enhance Xe working capacity without reducing the Xe/Kr selectivity, suggesting that synthesis of anion-pillared MOFs with mixed fluorine groups may lead to improved Xe/Kr separation performance.

Entities:  

Keywords:  Xe/Kr separation; anion-pillared MOFs; high-throughput screening; molecular simulation

Year:  2021        PMID: 33646743     DOI: 10.1021/acsami.1c00152

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Multi-Level Computational Screening of in Silico Designed MOFs for Efficient SO2 Capture.

Authors:  Hakan Demir; Seda Keskin
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2022-06-03       Impact factor: 4.177

2.  MOFs-Derived Zn-Based Catalysts in Acetylene Acetoxylation.

Authors:  Mengli Li; Zhuang Xu; Yuhao Chen; Guowang Shen; Xugen Wang; Bin Dai
Journal:  Nanomaterials (Basel)       Date:  2021-12-29       Impact factor: 5.076

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.