Departamento de Quimica Fisica I, Facultad de Ciencias Quimicas, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Faraday Discuss. 2016 Dec 22;195:569-582. doi: 10.1039/c6fd00141f.
We present a new simulation method for the calculation of crystal nucleation rates by computer simulation. The method is based on the use of molds to induce crystallization in state points where nucleation is a rare event. The mold is a cluster of potential energy wells placed in the lattice positions of the solid. The method has two distinct steps. In the first one the probability per unit volume of forming a sub-critical crystal cluster in the fluid is computed by means of thermodynamic integration. The thermodynamic route consists in gradually switching on an attractive interaction between the wells and the fluid particles. In the second step, the frequency with which such cluster becomes post-critical is computed in Molecular Dynamics simulations with the mold switched on. We validate our method with a continuous version of the hard sphere potential and with the sodium chloride Tosi-Fumi model. In all studied state points we obtain a good agreement with literature data obtained from other rare event simulation techniques. Our method is quite suitable for the study of both crystal nucleation of arbitrarily complex structures and the competition between different polymorphs in the nucleation stage.
我们提出了一种新的计算晶体成核率的计算机模拟方法。该方法基于使用模具在成核是罕见事件的状态点诱导结晶。模具是放置在固体晶格位置的势能阱簇。该方法有两个明显的步骤。在第一个步骤中,通过热力学积分计算在流体中形成亚临界晶体团簇的单位体积的概率。热力学途径包括逐渐打开势阱和流体粒子之间的吸引力相互作用。在第二步中,在打开模具的情况下,通过分子动力学模拟计算这种团簇变得后临界的频率。我们使用硬球势的连续版本和氯化钠 Tosi-Fumi 模型验证了我们的方法。在所有研究的状态点,我们都得到了与其他罕见事件模拟技术获得的文献数据的良好一致性。我们的方法非常适合研究任意复杂结构的晶体成核以及成核阶段不同多晶型之间的竞争。