GPU accelerated Discrete Element Method (DEM) molecular dynamics for conservative, faceted particle simulations

被引:41
|
作者
Spellings, Matthew [1 ,3 ]
Marson, Ryan L. [2 ,3 ]
Anderson, Joshua A. [1 ,3 ]
Glotzer, Sharon C. [1 ,2 ,3 ]
机构
[1] Univ Michigan, Chem Engn, 2800 Plymouth Rd, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Mat Sci & Engn, 2300 Hayward St, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Biointerfaces Inst, 2800 Plymouth Rd, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
GPU; Molecular dynamics; Discrete Element Method; Anisotropy;
D O I
10.1016/j.jcp.2017.01.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Faceted shapes, such as polyhedra, are commonly found in systems of nanoscale, colloidal, and granular particles. Many interesting physical phenomena, like crystal nucleation and growth, vacancy motion, and glassy dynamics are challenging to model in these systems because they require detailed dynamical information at the individual particle level. Within the granular materials community the Discrete Element Method has been used extensively to model systems of anisotropic particles under gravity, with friction. We provide an implementation of this method intended for simulation of hard, faceted nanoparticles, with a conservative Weeks-Chandler-Andersen (WCA) interparticle potential, coupled to a thermodynamic ensemble. This method is a natural extension of classical molecular dynamics and enables rigorous thermodynamic calculations for faceted particles. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:460 / 467
页数:8
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