Trueman Mollie, Akporiaye Duncan, Anderson Michael W
Centre for Nanoporous Materials, School of Chemistry, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.
SINTEF Industry, PO Box 124, Blindern, 0314 Oslo, Norway.
Faraday Discuss. 2022 Jul 14;235(0):343-361. doi: 10.1039/d1fd00097g.
A kinetic Monte-Carlo methodology is presented for simulating crystal growth in materials which contain stacking faults. By simulating a large number of potential growth and dissolution events, a representation of the crystal is generated at various stages throughout the crystallisation, allowing the effects of disorder on the evolution of crystal habit and nanoscale surface topography to be explored. As examples, simulations were performed on two intergrown zeolite materials - zeolite T and zeolite beta. In both zeolite T and zeolite beta, simulations demonstrate how an intergrown structure leads to a characteristic roughening of certain crystal facets. In zeolite beta, this is accompanied by the development of internal defects which shows a non-homogeneous distribution. Results of simulations are validated by direct comparison to experimental scanning electron microscopy, atomic force microscopy and X-ray diffraction data. All simulations are performed using the CrystalGrower software package with modifications to account for disorder and should be generally applicable to all classes of crystals.
提出了一种动力学蒙特卡罗方法,用于模拟含有堆垛层错的材料中的晶体生长。通过模拟大量潜在的生长和溶解事件,在结晶过程的各个阶段生成晶体的表征,从而能够探索无序对晶体习性演变和纳米级表面形貌的影响。作为示例,对两种共生沸石材料——T型沸石和β型沸石进行了模拟。在T型沸石和β型沸石中,模拟均表明共生结构如何导致某些晶面出现特征性的粗糙化。在β型沸石中,这伴随着内部缺陷的形成,且缺陷呈现出非均匀分布。通过与实验扫描电子显微镜、原子力显微镜和X射线衍射数据直接对比,验证了模拟结果。所有模拟均使用CrystalGrower软件包进行,并进行了修改以考虑无序情况,该方法通常应适用于所有类型的晶体。