成核
统计物理学
熵(时间箭头)
构造(python库)
计算机科学
Crystal(编程语言)
集合(抽象数据类型)
简单(哲学)
分子动力学
订单(交换)
生物系统
材料科学
化学
热力学
物理
计算化学
认识论
生物
哲学
经济
程序设计语言
财务
作者
Gianpaolo Gobbo,Michael A. Bellucci,Gareth A. Tribello,Giovanni Ciccotti,Bernhardt L. Trout
标识
DOI:10.1021/acs.jctc.7b01027
摘要
Simulating nucleation of molecular crystals is extremely challenging for all but the simplest cases. The challenge lies in formulating effective order parameters that are capable of driving the transition process. In recent years, order parameters based on molecular pair-functions have been successfully used in combination with enhanced sampling techniques to simulate nucleation of simple molecular crystals. However, despite the success of these approaches, we demonstrate that they can fail when applied to more complex cases. In fact, we show that order parameters based on molecular pair-functions, while successful at nucleating benzene, fail for paracetamol. Hence, we introduce a novel approach to formulate order parameters. In our approach, we construct reduced dimensional distributions of relevant quantities on the fly and then quantify the difference between these distributions and selected reference distributions. By computing the distribution of different quantities and by choosing different reference distributions, it is possible to systematically construct an effective set of order parameters. We then show that our new order parameters are capable of driving the nucleation of ordered states and, in particular, the form I crystal of paracetamol.
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