Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Direct-space structure determination of covalent organic frameworks from 3D electron diffraction data

Sun, Tu, Hughes, Colan E., Guo, Linshuo, Wei, Lei, Harris, Kenneth D. M., Zhang, Yue-Biao and Ma, Yanhang 2020. Direct-space structure determination of covalent organic frameworks from 3D electron diffraction data. Angewandte Chemie International Edition 59 (50) , pp. 22638-22644. 10.1002/anie.202009922

[img]
Preview
PDF - Accepted Post-Print Version
Download (616kB) | Preview

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Publisher: Wiley
ISSN: 1433-7851
Funders: National Natural Science Foundation of China
Date of First Compliant Deposit: 26 October 2020
Date of Acceptance: 3 September 2020
Last Modified: 03 Sep 2021 01:30
URI: http://orca.cardiff.ac.uk/id/eprint/135918

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics