Ramírez González Juan Pedro, Cinacchi Giorgio
Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, E-28049 Madrid, Spain.
Departamento de Física Teórica de la Materia Condensada, Instituto de Física de la Materia Condensada (IFIMAC), Instituto de Ciencias de Materiales "Nicolás Cabrera", Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, E-28049 Madrid, Spain.
Phys Rev E. 2020 Oct;102(4-1):042903. doi: 10.1103/PhysRevE.102.042903.
This work investigates dense packings of congruent hard infinitesimally thin circular arcs in the two-dimensional Euclidean space. It focuses on those denotable as major whose subtended angle θ∈(π,2π]. Differently than those denotable as minor whose subtended angle θ∈[0,π], it is impossible for two hard infinitesimally thin circular arcs with θ∈(π,2π] to arbitrarily closely approach once they are arranged in a configuration, e.g., on top of one another, replicable ad infinitum without introducing any overlap. This makes these hard concave particles, in spite of being infinitesimally thin, most densely pack with a finite number density. This raises the question as to what are these densest packings and what is the number density that they achieve. Supported by Monte Carlo numerical simulations, this work shows that one can analytically construct compact closed circular groups of hard major circular arcs in which a specific, θ-dependent, number of them (counter) clockwise intertwine. These compact closed circular groups then arrange on a triangular lattice. These analytically constructed densest-known packings are compared to corresponding results of Monte Carlo numerical simulations to assess whether they can spontaneously turn up.
这项工作研究了二维欧几里得空间中全等的硬的无限薄圆弧的密集堆积。它关注那些所对圆心角θ∈(π,2π]的可称为优弧的圆弧。与所对圆心角θ∈[0,π]的可称为劣弧的圆弧不同,一旦两个所对圆心角θ∈(π,2π]的硬的无限薄圆弧排列成一种构型,比如彼此堆叠,就不可能无限重复且不产生任何重叠地任意紧密靠近。这使得这些硬的凹形粒子,尽管无限薄,却以有限的数密度实现最密集堆积。这就引出了这样一个问题:这些最密集堆积是什么样的,以及它们能达到的数密度是多少。在蒙特卡罗数值模拟的支持下,这项工作表明,可以通过解析方法构建硬优弧的紧凑封闭圆形群组,其中特定数量(与θ相关)的优弧以(逆时针)方向相互缠绕。然后这些紧凑封闭圆形群组排列在三角形晶格上。将这些通过解析方法构建的已知最密集堆积与蒙特卡罗数值模拟的相应结果进行比较,以评估它们是否会自发出现。