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Nat Commun. 2016 Jun 13;7:ncomms11831. doi: 10.1038/ncomms11831.
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利用结构-性质图谱对结构变形的金属有机骨架的吸附性能进行建模。

Modeling adsorption properties of structurally deformed metal-organic frameworks using structure-property map.

机构信息

Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

Division of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-ku, Kyoto 606-8502, Japan.

出版信息

Proc Natl Acad Sci U S A. 2017 Jul 25;114(30):7923-7928. doi: 10.1073/pnas.1706330114. Epub 2017 Jul 10.

DOI:10.1073/pnas.1706330114
PMID:28696307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5544324/
Abstract

Structural deformation and collapse in metal-organic frameworks (MOFs) can lead to loss of long-range order, making it a challenge to model these amorphous materials using conventional computational methods. In this work, we show that a structure-property map consisting of simulated data for crystalline MOFs can be used to indirectly obtain adsorption properties of structurally deformed MOFs. The structure-property map (with dimensions such as Henry coefficient, heat of adsorption, and pore volume) was constructed using a large data set of over 12000 crystalline MOFs from molecular simulations. By mapping the experimental data points of deformed SNU-200, MOF-5, and Ni-MOF-74 onto this structure-property map, we show that the experimentally deformed MOFs share similar adsorption properties with their nearest neighbor crystalline structures. Once the nearest neighbor crystalline MOFs for a deformed MOF are selected from a structure-property map at a specific condition, then the adsorption properties of these MOFs can be successfully transformed onto the degraded MOFs, leading to a new way to obtain properties of materials whose structural information is lost.

摘要

金属有机骨架(MOFs)的结构变形和崩溃会导致长程有序性的丧失,这使得使用传统的计算方法来模拟这些非晶材料成为一项挑战。在这项工作中,我们展示了一个由结晶 MOFs 的模拟数据组成的结构-性质图谱,可以用于间接地获得结构变形的 MOFs 的吸附性质。该结构-性质图谱(具有亨利系数、吸附热和孔体积等维度)是使用超过 12000 个来自分子模拟的结晶 MOFs 的大数据集构建的。通过将实验数据点 SNU-200、MOF-5 和 Ni-MOF-74 的变形映射到这个结构-性质图谱上,我们表明实验变形的 MOFs 与它们最近邻的结晶结构具有相似的吸附性质。一旦在特定条件下从结构-性质图谱中选择了一个变形 MOF 的最近邻结晶 MOF,那么这些 MOF 的吸附性质就可以成功地转化到降解的 MOF 上,从而为获得结构信息丢失的材料的性质提供了一种新方法。