分子动力学
蒙特卡罗方法
常量(计算机编程)
压力(语言学)
统计物理学
采样(信号处理)
理论(学习稳定性)
材料科学
Atom(片上系统)
计算机科学
计算化学
物理
数学
化学
统计
计算机视觉
程序设计语言
嵌入式系统
哲学
机器学习
滤波器(信号处理)
语言学
作者
Wataru Shinoda,Motoyuki Shiga,Masuhiro Mikami
出处
期刊:Physical Review B
[American Physical Society]
日期:2004-04-07
卷期号:69 (13)
被引量:1088
标识
DOI:10.1103/physrevb.69.134103
摘要
Molecular simulations, when they are used to understand properties characterizing the mechanical strength of solid materials, such as stress-strain relation or Born stability criterion, by using elastic constants, are sometimes seriously time consuming. In order to resolve this problem, we propose an efficient simulation approach under constant external stress and temperature, modifying Parrinello-Rahman (PR) method using useful sampling techniques developed recently---massive Nos\'e-Hoover chain method and hybrid Monte Carlo method. Test calculations on the Ni crystal employing the embedded atom method have shown that our method greatly improved the efficiency in sampling the elastic properties compared with the conventional PR method.
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