4.7 Article

Soot inception: A DFT study of σ and π dimerization of resonantly stabilized aromatic radicals

期刊

FUEL
卷 279, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2020.118491

关键词

Soot; Polycyclic aromatic hydrocarbons; Radicals; Density functional theory

资金

  1. PRIN project Modeling and Analysis of carbon nanoparticles for innovative applications Generated dIrectly and Collected DUring combuSTion (MAGIC DUST) [2017PJ5XXX]

向作者/读者索取更多资源

Recent advances in the soot studies have shown experimental evidences of pi-radicals and cross-linked structures among the molecular constituents of just-nucleated soot particles. pi-radicals could have an important role in particle nucleation by increasing the binding energy between polycyclic aromatic hydrocarbons with respect to pure van der Waals interactions. In this work we use density functional theory by Grimme D3 dispersion correction (DFT-D3) with hybrid functional and localized Gaussian basis set (B3LYP/6-31G**) to analyze and classify the clustering behaviors of two aromatic radicals visualized experimentally by atomic force microscopy (Commodo et al. Combust. Flame 205: 154-164, 2019). These aromatic radicals have different topological structures and delocalization of the unpaired electron. The binding energy and energy bandgap characteristics of the clusters are calculated. The theoretical results show a different clustering behavior for the two aromatic radicals. The one with a partial localization of the unpaired electron tends to form a sigma-dimer; conversely, the radical with a greater delocalization of the unpaired electron leads to pi-stacking formation with a slight overbinding of few kcal mol(-1) with respect to pure van der Waals interactions and a marked lowering of the energy bandgap. The formation of pi-stacking induced by delocalized pi-radicals could in part explain some spectroscopic evidences observed during soot nucleation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据