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Nanothermodynamics of large iron clusters by means of a flat histogram Monte Carlo method

机译:平面铁直方图蒙特卡罗方法对大型铁团簇的热力学

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The thermodynamics of iron clusters of various sizes, from 76 to 2452 atoms, typical of the catalyst particles used for carbon nanotubes growth, has been explored by a flat histogram Monte Carlo (MC) algorithm (called the σ-mapping), developed by Soudan et al. [J. Chem. Phys. 135, 144109 (2011), Paper I]. This method provides the classical density of states, g_p(E_p) in the configurational space, in terms of the potential energy of the system, with good and well controlled convergence properties, particularly in the melting phase transition zone which is of interest in this work. To describe the system, an iron potential has been implemented, called “corrected EAM” (cEAM), which approximates the MEAM potential of Lee et al. [Phys. Rev. B 64, 184102 (2001)] with an accuracy better than 3 meV/at, and a five times larger computational speed. The main simplification concerns the angular dependence of the potential, with a small impact on accuracy, while the screening coefficients S_(ij) are exactly computed with a fast algorithm. With this potential, ergodic explorations of the clusters can be performed efficiently in a reasonable computing time, at least in the upper half of the solid zone and above. Problems of ergodicity exist in the lower half of the solid zone but routes to overcome them are discussed. The solid-liquid (melting) phase transition temperature T_m is plotted in terms of the cluster atom number N_(at). The standard N_(at)~(?1/3) linear dependence (Pawlow law) is observed for N_(at) >300, allowing an extrapolation up to the bulk metal at 1940 ±50 K. For N_(at) <150, a strong divergence is observed compared to the Pawlow law. The melting transition, which begins at the surface, is stated by a Lindemann-Berry index and an atomic density analysis. Several new features are obtained for the thermodynamics of cEAM clusters, compared to the Rydberg pair potential clusters studied in Paper I.
机译:Soudan开发的平面直方图蒙特卡罗(MC)算法(称为σ映射)已探索了76至2452个原子的各种大小的铁簇的热力学,这些碳簇是用于碳纳米管生长的典型催化剂颗粒。等。 [J.化学物理135,144109(2011),论文I]。该方法根据系统的势能,提供了结构空间中状态的经典密度g_p(E_p),具有良好且受控的收敛特性,尤其是在这项工作中令人关注的熔化相变区中。为了描述该系统,已经实现了一种铁势,称为“校正EAM”(cEAM),它近似于Lee等人的MEAM势。 [物理Rev. B 64,184102(2001)],其精度优于3 meV / at,计算速度提高了五倍。主要的简化涉及电位的角度依赖性,对精度的影响很小,而屏蔽系数S_(ij)是用快速算法精确计算的。有了这种潜力,至少在实心区的上半部及以上,可以在合理的计算时间内有效地执行对群集的遍历探索。遍历性问题存在于固体区的下半部分,但讨论了克服它们的途径。根据团簇原子数N_(at)绘制固-液(熔融)相变温度T_m。对于N_(at)> 300,观察到标准的N_(at)〜(?1/3)线性相关性(鲍洛定律),从而允许在1940±50 K处外推到块状金属。对于N_(at)<150与波洛定律相比,观察到了很大的分歧。从表面开始的熔融转变通过Lindemann-Berry指数和原子密度分析来表示。与论文I研究的Rydberg对势团簇相比,cEAM团簇的热力学获得了一些新特征。

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