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Transitions and Geometric Evolution of Cu 309 Nanocluster during Slow Cooling Process

机译:慢冷却过程中Cu 309纳米光栅的转变和几何演化

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Since the nucleation and growth of clusters is usually a non-equilibrium condensation process, a distribution of structural isomers for a given cluster size may be encountered even under the same conditions. In this work, molecular dynamics simulations are performed on sets of molten clusters of Cu 309 to study their structures at low temperatures while controlling the cooling rate. Several different final structures including perfect icosahedra (ICO), imperfect Mark’ decahedra (MDEC) and imperfect FCC truncated octahedra (TOCT) are obtained even at the same cooling rate. It is calculated that the most favorable structure is icosahedra, which becomes more and more favorable as the cooling rate is slowed. To better understand the process of crystallization, several techniques, including potential-temperature curves, common neighbor analysis (CNA) and radial distribution function (RDF), are used to analyze and study the structural transition. Results show that different structures are obtained under identical conditions due to the stochastic nature of nucleation and relatively small energy difference between isomers. The process of geometrical evolution for icosahedra is given by comparing and analyzing the time evolution of the root-mean-square deviation (RMSD) of atoms located in every shell.
机译:由于簇的成核和生长通常是非平衡缩合过程,因此即使在相同的条件下也可以遇到用于给定的簇尺寸的结构异构体的分布。在这项工作中,在Cu 309的熔融簇组上进行分子动力学模拟,以在控制冷却速率的同时在低温下研究它们的结构。即使以相同的冷却速率也可以获得包括完美ICOSAHEDRA(ICO),IMDEC标记'迪拉德拉(MDEC)和不完美的FCC截短的Octahedra(TOCT)的几种不同的最终结构。计算出最有利的结构是ICOSAHEDRA,随着冷却速度减慢而变得越来越有利。为了更好地理解结晶的过程,若干技术,包括潜在 - 温度曲线,常见邻分析(CNA)和径向分布函数(RDF),用于分析和研究结构转变。结果表明,由于成核的随机性质和异构体之间的能量差异相对较小,在相同的条件下获得不同的结构。通过比较和分析位于每个壳体中的原子的根部平均方偏差(RMSD)的时间演变来给出ICOSAHEDRA的几何演化过程。

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