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Accelerating Applications of Metal−Organic Frameworks for Gas Adsorption and Separation by Computational Screening of Materials

机译:通过材料的计算筛选加速金属有机骨架在气体吸附和分离中的应用

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摘要

The selection of metal−organic frameworks (MOFs) for gasnadsorption and separation has become a significant challenge over the pastndecade because of the large number of new structures reported every year. Wenapplied a multiscale computational approach to screen existing MOFs fornCO2/N2 separation. Pore characteristics of 1163 MOFs were analyzed by thenmethod developed by Haldoupis, Nair, and Sholl (Haldoupis, E.; Nair, S.;nSholl, D. S. J. Am. Chem. Soc. 2010, 132, 7528) using a simple steric model. Onnthe basis of the pore size analysis, 359 MOFs were examined by classicalnmolecular simulations. Adsorption and diffusion properties were computednusing grand canonical Monte Carlo (GCMC) and molecular dynamics (MD)nsimulations, respectively. These molecular simulations were used to assessnwhich materials hold the greatest promise as membrane materials for CO2/N2nseparations. Finally, density functional theory (DFT) calculations werenperformed to provide preliminary information on the dynamic framework motion of selected MOFs.
机译:在过去的十年中,由于每年报告的新结构数量众多,因此选择用于气体吸附和分离的金属有机框架(MOF)已成为一项重大挑战。 Wen应用了一种多尺度计算方法来筛选现有的MOF,以进行CO2 / N2分离。使用简单的空间模型,通过Haldoupis,Nair和Sholl(Haldoupis,E .; Nair,S.; nSholl,D.S.J. Am。Chem。Soc。2010,132,7528)开发的then方法分析了1163个MOF的孔隙特征。在孔径分析的基础上,通过经典分子模拟检查了359个MOF。吸附和扩散性能分别使用大正则蒙特卡罗(GCMC)和分子动力学(MD)模拟来计算。这些分子模拟被用来评估哪种材料最有前景作为用于CO2 / N2分离的膜材料。最后,进行了密度泛函理论(DFT)计算,以提供有关所选MOF的动态框架运动的初步信息。

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    《Langmuir》 |2012年第40期|14114-14128|共15页
  • 作者单位

    School of Chemical Biomolecular Engineering Georgia Institute of Technology Atlanta Georgia 30332-0100 United States;

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