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Accelerating development of metal organic framework membranes using atomically detailed simulations.

机译:使用原子详细模拟加快金属有机骨架膜的开发。

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摘要

A new group of nanoporous materials, metal organic frameworks (MOFs), have emerged as a fascinating alternative to more traditional nanoporous materials for membrane based gas separations. Although hundreds of different MOF structures have been synthesized in powder forms, very little is currently known about the potential performance of MOFs as membranes since fabrication and testing of membranes from new materials require a large amount of time and resources. The purpose of this thesis is to predict the macroscopic flux of multi-component gas mixtures through MOF-based membranes with information obtained from detailed atomistic simulations. First, atomically detailed simulations of gas adsorption and diffusion in MOFs combined with a continuum description of a membrane are introduced to predict the performance of MOF membranes. These results are compared with the only available experimental data for a MOF membrane. An efficient approximate method based on limited information from molecular simulations to accelerate the modeling of MOF membranes is then introduced. The accuracy and computational efficiency of different modeling approaches are discussed. A robust screening strategy is proposed to screen numerous MOF materials to identify the ones with the high membrane selectivity and to direct experimental efforts to the most promising of many possible MOF materials. This study provides the first predictions of any kind about the potential of MOFs as membranes and demonstrates that using molecular modeling for this purpose can be a useful means of identifying the phenomena that control the performance of MOFs as membranes.
机译:出现了一组新型的纳米多孔材料,金属有机骨架(MOF),作为基于膜的气体分离的更传统的纳米多孔材料的引人入胜的替代品。尽管已经以粉末形式合成了数百种不同的MOF结构,但是对于MOF作为膜的潜在性能目前知之甚少,因为用新材料制造和测试膜需要大量的时间和资源。本文的目的是利用详细的原子模拟获得的信息来预测多组分气体混合物通过基于MOF的膜的宏观通量。首先,引入了原子对MOF中气体吸附和扩散进行的详细模拟,并结合了膜的连续描述,以预测MOF膜的性能。将这些结果与MOF膜仅有的可用实验数据进行比较。然后介绍了一种有效的近似方法,该方法基于来自分子模拟的有限信息来加速MOF膜的建模。讨论了不同建模方法的准确性和计算效率。提出了一种鲁棒的筛选策略,以筛选多种MOF材料,以鉴定具有高膜选择性的材料,并将实验成果引向许多可能的MOF材料中。这项研究提供了关于MOFs作为膜的潜力的任何形式的第一个预测,并证明了为此目的使用分子建模可能是识别控制MOFs作为膜的性能的有用手段。

著录项

  • 作者

    Keskin, Seda.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Chemical.;Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 221 p.
  • 总页数 221
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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