二维强耦合有限尘埃团簇中体积和表面主导现象及五边形结构的形成

IF 2.9 3区 数学 Q1 MATHEMATICS, APPLIED
Mamta Yadav, Aman Singh Katariya, Animesh Sharma, Amita Das
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引用次数: 0

摘要

本文在二维分子动力学(MD)模拟的帮助下,探讨了尘埃团背景下尺寸依赖方面的普遍性。系统地探索了从宏观尺度(由大块尘埃颗粒数量的优势确定)到微观尺度(表面颗粒数量占主导地位)的过渡。当尘埃颗粒被限制在二维平面中时,它们以多环结构组织。随着尘埃颗粒数的增加,环的尺寸和环数也随之增加。有趣的是,在形成额外的环之前,核心总是有一个五边形对称的结构。在不同的对称边界条件和不同的屏蔽电位值下,对这种结构进行了详细的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bulk and surface dominated phenomena and the formation of pentagonal structures in 2-D strongly coupled finite dust clusters
This paper explores the prevalence of size-dependent aspects in the context of dust clusters with the help of Molecular Dynamics (MD) simulations in two dimensions. The transition from macroscale (identified by the dominance of the number of dust particles in bulk) to microscale (where the number of particles on the surface dominates) is explored systematically. The dust particles organize in a multi-ringed structure when confined in the 2-D plane. The ring size and the number of rings increase with the increasing number of dust particles. Interestingly, the formation of an additional ring is always preceded by structures with a pentagonal symmetry in the core. A detailed study of this formation has been investigated under various symmetries of the boundary condition and different values of the shielding potential.
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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