Mixed-mode oscillations and chaos in a complex chemical reaction network involving heterogeneous catalysis.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Hsing-Ya Li, Yu-Shu Chien, Ming-Shen Chiou
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引用次数: 0

Abstract

The nonlinear dynamical behavior in a complex isothermal reaction network involving heterogeneous catalysis is studied. The method first determines the multiple steady states in the reaction network. This is followed by an analysis of bifurcation continuations to identify several kinds of bifurcations, including limit point, Bogdanov-Takens, generalized Hopf, period doubling, and generalized period doubling. Numerical simulations are performed around the period doubling and generalized period doubling bifurcations. Rich nonlinear behaviors are observed, including simple sustained oscillations, mixed-mode oscillations, non-mixed-mode chaotic oscillations, and mixed-mode chaotic oscillations. Concentration-time plots, 2D phase portraits, Poincaré maps, maximum Lyapunov exponents, frequency spectra, and cascade of bifurcations are reported. Period-doubling and period-adding routes leading to chaos are observed. Maximum Lyapunov exponents are positive for all the chaotic cases, but they are also positive for some non-chaotic orbits. This result diminishes the reliability of using maximum Lyapunov exponents as a tool for determining chaos in the network under study.

涉及异相催化的复杂化学反应网络中的混合模式振荡和混沌。
研究了涉及异相催化的复杂等温反应网络中的非线性动力学行为。该方法首先确定了反应网络中的多重稳态。然后分析分岔连续性,确定几种分岔,包括极限点、波格丹诺夫-塔肯斯、广义霍普夫、周期倍增和广义周期倍增。围绕周期倍增和广义周期倍增分岔进行了数值模拟。观察到丰富的非线性行为,包括简单持续振荡、混合模式振荡、非混合模式混沌振荡和混合模式混沌振荡。报告了浓度-时间图、二维相位图、Poincaré 图、最大 Lyapunov 指数、频率谱和级联分岔。观察到了导致混沌的周期加倍和周期增加途径。所有混沌情况下的最大李雅普诺夫指数均为正值,但某些非混沌轨道的最大李雅普诺夫指数也为正值。这一结果降低了使用最大李亚普诺夫指数作为确定所研究网络中混沌情况的工具的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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