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温度和质量守恒对氢气氧化典型化学序列的影响。

Effects of temperature and mass conservation on the typical chemical sequences of hydrogen oxidation.

机构信息

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

出版信息

J Chem Phys. 2018 Jan 28;148(4):044102. doi: 10.1063/1.5012760.

Abstract

Macroscopic properties of reacting mixtures are necessary to design synthetic strategies, determine yield, and improve the energy and atom efficiency of many chemical processes. The set of time-ordered sequences of chemical species are one representation of the evolution from reactants to products. However, only a fraction of the possible sequences is typical, having the majority of the joint probability and characterizing the succession of chemical nonequilibrium states. Here, we extend a variational measure of typicality and apply it to atomistic simulations of a model for hydrogen oxidation over a range of temperatures. We demonstrate an information-theoretic methodology to identify typical sequences under the constraints of mass conservation. Including these constraints leads to an improved ability to learn the chemical sequence mechanism from experimentally accessible data. From these typical sequences, we show that two quantities defining the variational typical set of sequences-the joint entropy rate and the topological entropy rate-increase linearly with temperature. These results suggest that, away from explosion limits, data over a narrow range of thermodynamic parameters could be sufficient to extrapolate these typical features of combustion chemistry to other conditions.

摘要

反应混合物的宏观性质对于设计合成策略、确定产率以及提高许多化学过程的能量和原子效率是必要的。化学物质的时间顺序序列集是从反应物到产物的演变的一种表示。然而,只有少数可能的序列是典型的,它们具有大多数联合概率并描述化学非平衡态的连续变化。在这里,我们扩展了典型性的变分测度,并将其应用于氢氧化模型的原子模拟,以在一系列温度下进行。我们展示了一种信息论方法,可以在质量守恒的约束下识别典型序列。包括这些约束可以提高从实验可获得的数据中学习化学序列机制的能力。从这些典型序列中,我们表明,定义变分典型序列集的两个量——联合熵率和拓扑熵率——随温度线性增加。这些结果表明,在远离爆炸极限的情况下,热力学参数的窄范围内的数据可能足以将燃烧化学的这些典型特征外推到其他条件。

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