The Complex Crystal Structure and Abundant Local Defects of Zeolite EMM-17 Unraveled by Combined Electron Crystallography and Microscopy.
Xiaona LiuLingmei LiuTingting PanNana YanXinglong DongYuanhao LiLu ChenPeng TianYu HanPeng GuoZhongmin LiuPublished in: Angewandte Chemie (International ed. in English) (2021)
In this study, we successfully solve polymorphs A and B of zeolite EMM-17, which can only crystallize in sub-micrometer-sized crystals while containing complex stacking disorders, from the three-dimensional (3D) electron diffraction (ED) data. This is the first time that the atomic structure of this polymorph has been ab initio solved, and the result reveals a unique 10(12)×10(12)×11-ring channel system. Moreover, we acquire the first atomic-resolution images of EMM-17 using integrated differential phase-contrast scanning transmission electron microscopy. The images allow us to directly observe polymorphs B and C and discover a large number of local structural defects. Based on structural features unraveled from the reciprocal-space 3D ED data and real-space images, we propose a series of energetically feasible local structures in EMM-17. We also demonstrate that the unique porous structure of EMM-17 enables efficient kinetic separation of C6 alkane isomers.
Keyphrases
- electron microscopy
- crystal structure
- deep learning
- optical coherence tomography
- convolutional neural network
- emergency department
- electronic health record
- high resolution
- single molecule
- big data
- magnetic resonance
- magnetic resonance imaging
- high throughput
- high speed
- data analysis
- machine learning
- artificial intelligence