一种通过分子动力学模拟的不等价位置来识别双金属团簇部分相变的方法

IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER
Alessio Palavicini, Diana E. Moreno, Abel García-Barrientos, César G. Galván
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引用次数: 0

摘要

团簇的原子结构决定了它们的化学活性,在合成和使用它们时,特别是在通常需要有限温度的情况下,对它的理解是至关重要的。当系统包含不止一种类型的原子时,结构演变变得更加复杂,例如双金属纳米颗粒。我们通过简单的方法分析了团簇的热演化,利用分子动力学模拟计算了每个原子的中心对称参数。然后根据参数的值将原子分组到不相等的位置。这种方法使我们能够绘制出簇结构的不同区域,并分析跟踪单个位点和组成区域的结构演变与簇中任意空间和化学顺序的温度有关。我们展示了它在Au-Cu纳米团簇中的应用,在那里我们发现了一系列形态和化学成分的部分熔化温度和偏析温度。该方法通过简单的计算揭示了纳米团簇在特定温度下的内部结构,从而分析了它们的行为,促进了它们的设计和热应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method to identify partial phase transitions of bimetallic clusters through inequivalent sites from molecular dynamic simulations

The atomistic structure of clusters dictates their chemical activity, and its understanding is crucial when synthesizing and using them, particularly when working at often needed finite temperatures. The structural evolution becomes more intricate when the system contains more than one type of atom, such as in the case of bimetallic nanoparticles. We analyze the thermal evolution of the clusters through a simple approach, using molecular dynamics simulations to calculate the centrosymmetry parameter of each of the atoms. The atoms are then grouped into inequivalent sites according to the values of the parameter. This method allows us to map distinctive regions of the cluster structure and analytically track the structural evolution of individual sites and constituent regions in relation to the temperature in clusters with arbitrary spatial and chemical order. We show its application in Au-Cu nanoclusters, where we found partial melting temperatures and segregation temperatures for a range of morphologies and chemical compositions. This method reveals, through a simple calculation, the internal structure of nanoclusters at select temperatures as way of analyzing their behavior, facilitating their design and use on thermal applications.

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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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