Automated Skeleton Network Generation for ReaxFF Molecular Dynamics Simulations of Hydrocarbon Fuel Pyrolysis and Oxidation via a Rate-Based Algorithm

In this study, we present an automated approach of rate-based skeleton network generation for ReaxFF MD simulation (RxMD-SN) for deriving the reaction kinetic mechanism of large hydrocarbon fuels in pyrolysis and oxidation from large-scale ReaxFF MD simulations. The approach contains the statistical...

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Bibliographic Details
Published in:Journal of chemical theory and computation Vol. 20; no. 13; p. 5539
Main Authors: Xiao, Yuanyuan, Zheng, Mo, Li, Xiaoxia, Ren, Chunxing
Format: Journal Article
Language:English
Published: United States 09.07.2024
ISSN:1549-9626, 1549-9626
Online Access:Get more information
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