Abstract
Zeolites are microporous materials that have been widely used in various chemical industries. Zeolite structure prediction involves building feasible zeolite frameworks on computers, and can be used as a tool to determine the structures of synthesized zeolites and to identify promising synthetic candidates for future rational synthesis. Although many approaches for zeolite structure prediction have been developed, none of them has proved to be efficient at generating chemically feasible structures. To solve this problem, we developed the computer program FraGen to predict inorganic crystal structures. FraGen is capable of generating atoms in a given unit cell, adjusting the locations of atoms through the parallel tempering Monte Carlo method, and producing chemically feasible crystal structures. In this work, starting from the structure of zeolite AET, we use FraGen to predict a series of novel zeolite structures by controlling the Wyckoff site symmetry of each atom specifically. Compared with previous prediction methods, FraGen can generate more structures that are chemically feasible.
Original language | English |
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Pages (from-to) | 1661-1665 |
Number of pages | 5 |
Journal | Wuli Huaxue Xuebao/ Acta Physico - Chimica Sinica |
Volume | 29 |
Issue number | 8 |
DOIs | |
Publication status | Published - 9 Jul 2013 |
Externally published | Yes |
Keywords
- Computer simulation
- FraGen
- LID criteria
- Structure prediction
- Wyckoff site symmetry
- Zeolite