Angewandte Chemie International Edition · 2020 · 39 citations · 73 references
Natural SciencesChemistryMaterials ScienceComputational ChemistryComputational Materials ScienceMaterials ChemistryCrystallographyElectron DiffractionMolecular StructureStructure DeterminationX-ray CrystallographyAb Initio Structure SolutionCovalent Organic FrameworksDiffraction-limited ResolutionGenetic Algorithm OptimizationPrecisionStructure Determination By Electron DiffractionStructure SolutionX-ray Crystallography-based Structure Determination
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.
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