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Analysis of nucleation ability of cluster configurations with Monte Carlo simulations of argon

机译:用氩气的蒙特卡洛模拟分析团簇构型的成核能力

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We determine the nucleation ability of argon clusters from Monte Carlo simulations. The nucleation rate appears to be defined by a sole characteristic of the clusters, namely, the stability. The stability is calculated as the ratio of grand canonical growth and decay rates and can be assigned to individual cluster configurations. We study the connection between the stability of the cluster configurations and their volume and total potential energy. Neither the potential energy nor the volume of a cluster configuration has a clear relation to its stability, and thus to the nucleation ability. On the other hand, we show that it is possible to use a specific volume for each cluster size to calculate the work of the cluster formation. These clusters with a unique volume have the same average stability as the full set of clusters. Our simulation method allows us to study the effect of possible deviations from equilibrium in the cluster configuration distributions. We argue that the nucleation process itself can produce a source for such a deviation. We show that even a small deviation from equilibrium in the cluster configuration distribution can lead to a dramatic deceleration of the nucleation rate. Although our simulations may overestimate the magnitude of the effect, they give qualitative estimates for its importance. (c) 2006 American Institute of Physics.
机译:我们从蒙特卡洛模拟中确定氩气团簇的成核能力。成核速率似乎由团簇的唯一特征即稳定性来定义。稳定性的计算公式为标准典范增长率和衰变率之比,并且可以分配给各个簇配置。我们研究了群集配置的稳定性与其体积和总势能之间的联系。簇结构的势能和体积都与其稳定性并因此与成核能力没有明确关系。另一方面,我们表明可以为每个簇大小使用特定的体积来计算簇形成的​​功。这些具有唯一体积的群集具有与整个群集相同的平均稳定性。我们的仿真方法使我们能够研究簇构型分布中可能偏离平衡的影响。我们认为成核过程本身可以产生这种偏差的来源。我们表明,即使在簇构型分布中与平衡之间的微小偏差也会导致成核速率的急剧下降。尽管我们的模拟可能会高估影响的程度,但它们会对其影响进行定性估计。 (c)2006年美国物理研究所。

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