多相化学动力学的分区模型。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Alexander M Prophet, Kevin R Wilson
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引用次数: 0

摘要

由于反应和质量在相边界(即界面)上传递的复杂耦合,在预测多相化学动力学方面存在重大挑战。在这里,我们描述了一个预测多相动力学的框架,该框架将反应、溶剂化和扩散的基本动力学步骤嵌入到两相的粗粒空间描述中。该模型的建立是为了将分子模拟中观察到的短时间尺度界面动力学与动力学实验中观察到的长时间尺度界面动力学联系起来。推导了一组简单的控制微分方程,当用数值或解析方法求解时,可以准确地预测微滴中的多相动力学。虽然这些方程是为气液反应制定的,但其基本概念框架是通用的,可以应用于其他两相系统(固-液、液-液等)的转化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A compartmentalized model of multiphase chemical kinetics.

There are significant challenges in predicting multiphase chemical kinetics due to the complex coupling of reaction and mass transport across a phase boundary (i.e., interface). Here, we describe a framework for predicting multiphase kinetics that embeds the elementary kinetic steps of reaction, solvation, and diffusion into a coarse grain spatial description of two phases. The model is constructed to bridge the short-timescale interfacial dynamics observed in molecular simulations with the longer timescales observed in kinetic experiments. A simple set of governing differential equations is derived, which, when solved numerically or analytically, yield accurate predictions of multiphase kinetics in microdroplets. Although the equations are formulated for gas-liquid reactions, the underlying conceptual framework is general and can be applied to transformations in other two-phase systems (solid-liquid, liquid-liquid, etc.).

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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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