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氢燃烧模型的反应符号序列。

Reactive symbol sequences for a model of hydrogen combustion.

作者信息

Alaghemandi Mohammad, Green Jason R

机构信息

Department of Chemistry, University of Massachusetts Boston, Boston, MA 02125, USA.

出版信息

Phys Chem Chem Phys. 2016 Jan 28;18(4):2810-7. doi: 10.1039/c5cp05125h.

Abstract

Transient, macroscopic states of chemical disequilibrium are born out of the microscopic dynamics of molecules. As a reaction mixture evolves, the temporal patterns of chemical species encodes some of this dynamical information, while their statistics are a manifestation of the bulk kinetics. Here, we define a chemically-informed symbolic dynamics as a coarse-grained representation of classical molecular dynamics, and analyze the sequences of chemical species for a model of hydrogen combustion. We use reactive molecular dynamics simulations to generate the sequences and derive probability distributions for sequence observables: the reaction time scales and the chain length - the total number of reactions between initiation of a reactant and termination at products. The time scales and likelihood of the sequences depend strongly on the chain length, temperature, and density. Temperature suppresses the uncertainty in chain length for hydrogen sequences, but enhances the uncertainty in oxygen sequence chain lengths. This method of analyzing a surrogate chemical symbolic dynamics reduces the complexity of the chemistry from the atomistic to the molecular level and has the potential for extension to more complicated reaction systems.

摘要

化学不平衡的瞬态宏观状态源自分子的微观动力学。随着反应混合物的演化,化学物种的时间模式编码了一些这种动力学信息,而它们的统计数据则是整体动力学的一种表现。在这里,我们将化学信息符号动力学定义为经典分子动力学的粗粒度表示,并分析氢燃烧模型中化学物种的序列。我们使用反应分子动力学模拟来生成序列,并推导序列可观测量的概率分布:反应时间尺度和链长——反应物起始到产物终止之间的总反应数。序列的时间尺度和可能性强烈依赖于链长、温度和密度。温度抑制了氢序列链长的不确定性,但增加了氧序列链长的不确定性。这种分析替代化学符号动力学的方法将化学的复杂性从原子水平降低到分子水平,并有可能扩展到更复杂的反应系统。

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