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利用反应分子模拟和非线性流形学习对甲烷氧化机理及反应途径的研究

A Study of the Methane Oxidation Mechanism and Reaction Pathways Using Reactive Molecular Simulation and Nonlinear Manifold Learning.

作者信息

Wang Jiang, Tang Jiaxuan, Chen Fuye

机构信息

College of Science, Guizhou Institute of Technology, Boshi Road, Dangwu Town, Gui'an New District, Guizhou 550025, China.

出版信息

ACS Omega. 2024 Oct 17;9(43):43894-43907. doi: 10.1021/acsomega.4c07094. eCollection 2024 Oct 29.

Abstract

Methane, as the primary component of natural gas, is a vital energy resource extensively utilized through oxidation reactions. These reactions yield diverse radicals and molecules via varying intermediate reaction routes, contingent upon the oxidation conditions. In this study, we employ reactive molecular dynamics simulations to investigate the early-stage mechanism of methane oxidation across different temperatures and methane/oxygen conditions. Our analysis reveals distinct variations in species count, initial reaction times, and the spectrum of the main reactions/molecules under diverse conditions. Notably, both full oxidation of methane (FOM) and partial oxidation of methane (POM) are observed in all simulations, with FOM favored under high-temperature and fuel-lean conditions, while POM prevails in low-temperature and fuel-rich environments. Furthermore, we utilize nonlinear manifold learning techniques to extract a 2D manifold from the reaction state space, identifying two collective variables governing the reaction pathways. This research provides a systematic understanding of the initial stage mechanisms of methane oxidation under varying conditions, offering useful insights into chemical science and fuel engineering.

摘要

甲烷作为天然气的主要成分,是一种通过氧化反应被广泛利用的重要能源资源。这些反应根据氧化条件,通过不同的中间反应路径产生各种自由基和分子。在本研究中,我们采用反应分子动力学模拟来研究不同温度和甲烷/氧气条件下甲烷氧化的早期机制。我们的分析揭示了在不同条件下物种数量、初始反应时间以及主要反应/分子谱的明显差异。值得注意的是,在所有模拟中均观察到了甲烷的完全氧化(FOM)和部分氧化(POM),高温和贫燃料条件下FOM占优势,而低温和富燃料环境中POM更为普遍。此外,我们利用非线性流形学习技术从反应状态空间中提取二维流形,确定了控制反应路径的两个集体变量。本研究为不同条件下甲烷氧化的初始阶段机制提供了系统的理解,为化学科学和燃料工程提供了有用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6898/11525525/26eb40becb5d/ao4c07094_0001.jpg

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