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基于三维电子衍射数据的共价有机框架直接空间结构测定

Direct-Space Structure Determination of Covalent Organic Frameworks from 3D Electron Diffraction Data.

作者信息

Sun Tu, Hughes Colan E, Guo Linshuo, Wei Lei, Harris Kenneth D M, Zhang Yue-Biao, Ma Yanhang

机构信息

School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, P. R. China.

School of Chemistry, Cardiff University, Cardiff, CF10 3AT, UK.

出版信息

Angew Chem Int Ed Engl. 2020 Dec 7;59(50):22638-22644. doi: 10.1002/anie.202009922. Epub 2020 Oct 6.

Abstract

Structure determination of covalent organic frameworks (COFs) with atomic precision is a bottleneck that hinders the development of COF chemistry. Although three-dimensional electron diffraction (3D-ED) data has been used to solve structures of sub-micrometer-sized COFs, successful structure solution is not guaranteed as the data resolution is usually low. We demonstrate that the direct-space strategy for structure solution, implemented using a genetic algorithm (GA), is a successful approach for structure determination of COF-300 from 3D-ED data. Structural models with different geometric constraints were considered in the GA calculations, with successful structure solution achieved from room-temperature 3D-ED data with a resolution as low as ca. 3.78 Å. The generality of this strategy was further verified for different phases of COF-300. This study demonstrates a viable strategy for structure solution of COF materials from 3D-ED data of limited resolution, which may facilitate the discovery of new COF materials in the future.

摘要

以原子精度确定共价有机框架(COF)的结构是阻碍COF化学发展的一个瓶颈。尽管三维电子衍射(3D-ED)数据已被用于解析亚微米尺寸COF的结构,但由于数据分辨率通常较低,并不一定能成功解析结构。我们证明,使用遗传算法(GA)实施的直接空间结构解析策略是从3D-ED数据确定COF-300结构的一种成功方法。在GA计算中考虑了具有不同几何约束的结构模型,从分辨率低至约3.78 Å的室温3D-ED数据中成功解析出了结构。该策略对于COF-300的不同相的通用性进一步得到了验证。这项研究展示了一种从有限分辨率的3D-ED数据解析COF材料结构的可行策略,这可能有助于未来发现新的COF材料。

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