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通过长轨迹实现的结构弛豫变得稳定。

Structure relaxation via long trajectories made stable.

作者信息

Yang Lin, Hou Chengyu, Ma Xiaoliang, Ye Lin, Chang Li, Shi Liping, He Xiaodong

机构信息

Centre for Composite Materials and Structures, Harbin Institute of Technology, Harbin 150080, China.

出版信息

Phys Chem Chem Phys. 2017 Sep 20;19(36):24478-24484. doi: 10.1039/c7cp04838f.

Abstract

Molecular dynamics (MD) is appearing in increasing applications in materials science, nanotechnologies, condensed matter physics, computational physics, biochemistry, and biophysics. Finding mechanically static equilibrium configurations of molecular systems is one of the most practical tasks in MD. Most existing potential energy optimization algorithms do not permit searching equilibrium configurations through longer MD trajectories. We introduce a simple method of utilizing a microcanonical (NVE) ensemble to obtain static equilibriums of molecular systems, that is significantly faster than the standard implementations of quick-min (QM) and fast inertial relaxation engine (FIRE) optimization algorithms. The new method is based on the capability of NVE to convert potential energy to kinetic energy. The surprising efficiency of the method is illustrated using an indentation test on monolayer graphene and, in particular, the versatility of the method is illustrated using relaxation of a polystyrene chain through longer MD trajectories and large deformation. The capability of the new method in finding more stable equilibrium configurations than common optimization algorithms is demonstrated in relaxation of a pressured lubricating oil layer and a warped monolayer graphene cantilever.

摘要

分子动力学(MD)在材料科学、纳米技术、凝聚态物理、计算物理、生物化学和生物物理学等领域的应用越来越广泛。寻找分子系统的机械静态平衡构型是分子动力学中最实际的任务之一。现有的大多数势能优化算法不允许通过更长的分子动力学轨迹搜索平衡构型。我们引入一种利用微正则(NVE)系综来获得分子系统静态平衡的简单方法,该方法比快速最小化(QM)和快速惯性松弛引擎(FIRE)优化算法的标准实现要快得多。新方法基于NVE将势能转化为动能的能力。通过对单层石墨烯进行压痕测试来说明该方法惊人的效率,特别是通过更长的分子动力学轨迹和大变形来松弛聚苯乙烯链,展示了该方法的通用性。在受压润滑油层和翘曲的单层石墨烯悬臂的松弛过程中,证明了新方法在寻找比普通优化算法更稳定的平衡构型方面的能力。

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