Suppr超能文献

基于MEAM势的镍表面熔化转变的分子动力学模拟。

MEAM potential-based MD simulations of melting transition on Ni surfaces.

作者信息

Jin Hak-Son, Jong Gwang-Byol, Ri Kyong-Ho, Kim Dong-Kuk, Yang He

机构信息

Faculty of Energy Science, Kim Il Sung University, Pyongyang, Democratic People's Republic of Korea.

Faculty of Physical Engineering, Kim Chaek University of Technology, Pyongyang, Democratic People's Republic of Korea.

出版信息

J Mol Model. 2022 Oct 28;28(11):368. doi: 10.1007/s00894-022-05357-8.

Abstract

Based on the modified embedded atom method (MEAM) potential suggested by Jin et al. (Appl. Phys. A120: 189, 2015), the molecular dynamics (MD) simulations were adopted to investigate the melting transition of the FCC transition metal Ni, and in the MD simulations, the forces acting on atoms were calculated by using the newly derived formulas. We first studied the melting points of Ni samples with low-index surfaces including Ni(100), Ni(110), and Ni(111). Then, we investigated the structural properties on the surface layers with increasing temperature up to the melting points. The simulation results exhibit that with the temperature increasing, the (110) surface firstly disorders, followed by the (100) surface, while the stability of the (111) surface is maintained until near the melting point. The disorder of surface layer atoms diffuses from the surface to the inside of the crystal lattice. With the density of atoms decreasing on the surface, the premelting effect also increases, being most pronounced on Ni(110) which corresponds to the lowest surface density. This conclusion is linked with the behavior found for the BCC transition metal Fe in our previous simulation study.

摘要

基于Jin等人(《应用物理A》120: 189, 2015)提出的修正嵌入原子方法(MEAM)势,采用分子动力学(MD)模拟研究面心立方(FCC)过渡金属Ni的熔化转变,在MD模拟中,使用新推导的公式计算作用在原子上的力。我们首先研究了具有低指数表面的Ni样品的熔点,包括Ni(100)、Ni(110)和Ni(111)。然后,我们研究了温度升高至熔点时表面层的结构性质。模拟结果表明,随着温度升高,(110)表面首先无序化,其次是(100)表面,而(111)表面的稳定性一直保持到接近熔点。表面层原子的无序化从表面扩散到晶格内部。随着表面原子密度降低,预熔效应也增加,在表面密度最低的Ni(110)上最为明显。这一结论与我们之前模拟研究中体心立方(BCC)过渡金属Fe的行为相关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验