成核
分子动力学
化学
统计物理学
化学物理
动力学(音乐)
Crystal(编程语言)
纳米技术
计算机科学
计算化学
物理
材料科学
声学
有机化学
程序设计语言
作者
Gabriele C. Sosso,Ji Chen,Stephen J. Cox,Martin Fitzner,Philipp Pedevilla,Andrea Zen,Angelos Michaelides
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2016-05-26
卷期号:116 (12): 7078-7116
被引量:453
标识
DOI:10.1021/acs.chemrev.5b00744
摘要
The nucleation of crystals in liquids is one of nature’s most ubiquitous phenomena, playing an important role in areas such as climate change and the production of drugs. As the early stages of nucleation involve exceedingly small time and length scales, atomistic computer simulations can provide unique insights into the microscopic aspects of crystallization. In this review, we take stock of the numerous molecular dynamics simulations that, in the past few decades, have unraveled crucial aspects of crystal nucleation in liquids. We put into context the theoretical framework of classical nucleation theory and the state-of-the-art computational methods by reviewing simulations of such processes as ice nucleation and the crystallization of molecules in solutions. We shall see that molecular dynamics simulations have provided key insights into diverse nucleation scenarios, ranging from colloidal particles to natural gas hydrates, and that, as a result, the general applicability of classical nucleation theory has been repeatedly called into question. We have attempted to identify the most pressing open questions in the field. We believe that, by improving (i) existing interatomic potentials and (ii) currently available enhanced sampling methods, the community can move toward accurate investigations of realistic systems of practical interest, thus bringing simulations a step closer to experiments.
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