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Large-ScaleComputational Screening of Metal OrganicFramework (MOF) Membranes and MOF-Based Polymer Membranes for H2/N2 Separations

机译:大规模金属有机物的计算筛选用于H2 / N2分离的骨架(MOF)膜和基于MOF的聚合物膜

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摘要

Several thousands of metal organic frameworks (MOFs) have been reported to date, but the information on H2/N2 separation performances of MOF membranes is currently very limited in the literature. We report the first large-scale computational screening study that combines state-of-the-art molecular simulations, grand canonical Monte Carlo (GCMC) and molecular dynamics (MD), to predict H2 permeability and H2/N2 selectivity of 3765 different types of MOF membranes. Results showed that MOF membranes offer very high H2 permeabilities, 2.5 × 103 to 1.7 × 106 Barrer, and moderate H2/N2 membrane selectivities up to 7. The top 20 MOF membranes that exceed the polymeric membranes’ upper bound for H2/N2 separation were identified based on the results of initial screening performed at infinite dilution condition. Molecular simulations were then carried out considering binary H2/N2 and quaternary H2/N2/CO2/CO mixtures to evaluate the separation performance of MOF membranes under industrial operating conditions. Lower H2 permeabilities and higher N2 permeabilities were obtained at binary mixture conditions compared to the ones obtained at infinite dilution due to the absence of multicomponent mixture effects in thelatter. Structure–performance relations of MOFs were also exploredto provide molecular-level insights into the development of new MOFmembranes that can offer both high H2 permeability andhigh H2/N2 selectivity. Results showed thatthe most promising MOF membranes generally have large pore sizes (>6Å) as well as high surface areas (>3500 m2/g) andhigh pore volumes (>1 cm3/g). We finally examined H2/N2 separation potentials of the mixed matrix membranes(MMMs) in which the best MOF materials identified from our high-throughputscreening were used as fillers in various polymers. Results showedthat incorporation of MOFs into polymers almost doubles H2 permeabilities and slightly enhances H2/N2 selectivities of polymer membranes, which can advance the currentmembrane technology for efficient H2 purification.
机译:迄今为止,已经报道了数千种金属有机骨架(MOF),但是有关MOF膜的H2 / N2分离性能的信息目前在文献中非常有限。我们报告了第一个大规模的计算筛选研究,该研究结合了最新的分子模拟,经典的蒙特卡洛(GCMC)和分子动力学(MD)来预测3765种不同类型的H2的渗透性和H2 / N2的选择性MOF膜。结果表明,MOF膜具有很高的H2渗透性,Barrer的渗透率为2.5×10 3 至1.7×10 6 ,中等的H2 / N2膜选择性高达7。前20名根据在无限稀释条件下进行初步筛选的结果,鉴定出超出聚合物膜H2 / N2分离上限的MOF膜。然后考虑二元H2 / N2和四元H2 / N2 / CO2 / CO混合物进行分子模拟,以评估MOF膜在工业操作条件下的分离性能。与在无限稀释条件下获得的H2渗透率相比,在二元混合条件下可获得较低的H2渗透率,而在无限稀释条件下则可获得较高的N 2 渗透率,这是因为在混合物中不存在多组分混合效应后者。还探讨了财政部的结构与绩效关系为新MOF的发展提供分子水平的见解可提供高H 2 渗透性和高H 2 / N 2 选择性。结果表明最有希望的MOF膜通常具有大孔径(> 6Å)以及高表面积(> 3500 m 2 / g)和高孔隙率(> 1 cm 3 / g)。最后,我们检查了混合基质膜的H 2 / N 2 分离电位(MMM),其中从我们的高通量中识别出最佳的MOF材料筛选被用作各种聚合物的填充剂。结果显示MOFs掺入聚合物几乎使H 2 的渗透率增加一倍,并稍微提高了聚合物膜的H 2 / N 2 的选择性,这可以提高膜技术可有效纯化H 2

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