理化分形介质中反应扩散波的实验与分析

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ivan S. Proskurkin , Alexandr A. Efimov , Eugene B. Postnikov , Dmitry A. Safonov , Ilya L. Malfanov , Anastasia I. Lavrova
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引用次数: 0

摘要

我们开发了一种基于薄凝胶层(厚度小于100 μ m)的宏观物理化学系统,该系统精确地再现了导致Sierpinski垫片的迭代分支过程,其中四个自相似迭代源自基三角形。这个系统充满了在可激发状态下维持Belousov-Zhabotinsky (BZ)反应的试剂,使得观察和研究通过规则分形介质传播的行波成为可能——不是在计算机中,而是在物理领域。视频记录可以定量评估每个前分形波传播速度的时空动态,允许分析和比较渐近行为与数学模型得出的预测。此外,我们发现并数学分析了波前矫直的新效应,这表明异质凝胶结构在化学软计算系统中作为有效传输元件的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimenting with and analysing reaction–diffusion waves on physicochemical fractal media
We developed a macroscopic physicochemical system based on a thin gel layer (less than 100 μ m thick) that accurately reproduces the iterative ramification process leading to the Sierpinski gasket, with four self-similar iterations originating from the base triangle. This system, filled with reagents sustaining the Belousov–Zhabotinsky (BZ) reaction in an excitable regime, made it possible to observe and investigate travelling waves propagating through a regular fractal medium—not in silico, but in the physical realm. Video recordings enabled a quantitative assessment of the spatiotemporal dynamics of wave propagation speed for each prefractal, allowing for analysis and comparison of the asymptotic behaviour with predictions derived from mathematical models. Additionally, we discovered and mathematically analysed a novel effect of wave front straightening, which suggests the potential of heterogeneous gel architectures to serve as effective transmitting elements in chemical soft-computing systems.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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