活性二元混合物中的畴生长动力学。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Sayantan Mondal, Prasenjit Das
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引用次数: 0

摘要

我们研究了对称和非对称活性二元混合物中运动诱导的相分离。我们从粗粒度的奔跑和翻滚细菌模型入手,该模型提供了密度场 ρi(r⃗,t) 的演化方程。接下来,我们利用欧拉离散化技术求解演化方程,研究相分离动力学。我们通过计算等时相关函数 C(r, t) 和结构因子 S(k,t)来描述畴的形态,这两个函数都显示出动态缩放。缩放函数的形式取决于混合物的组成和物种的相对活性 Δ。对于 k → ∞,S(k, t) 遵循 Porod 定律:对于所有混合物,S(k, t) ∼ k-(d+1),平均畴尺寸 L(t) 在 L(t) ∼ t1/3 时呈扩散性增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain growth kinetics in active binary mixtures.

We study motility-induced phase separation in symmetric and asymmetric active binary mixtures. We start with the coarse-grained run-and-tumble bacterial model that provides evolution equations for the density fields ρi(r⃗,t). Next, we study the phase separation dynamics by solving the evolution equations using the Euler discretization technique. We characterize the morphology of domains by calculating the equal-time correlation function C(r, t) and the structure factor S(k, t), both of which show dynamical scaling. The form of the scaling functions depends on the mixture composition and the relative activity of the species, Δ. For k → ∞, S(k, t) follows Porod's law: S(k, t) ∼ k-(d+1) and the average domain size L(t) shows a diffusive growth as L(t) ∼ t1/3 for all mixtures.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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