Tuning Aromaticity, Stability and Radicaloid Character of Periacenes by Chemical BN Doping

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Luan G. F. dos Santos, Julio C. V. Chagas, Luiz F. A. Ferrão, Adelia J. A. Aquino, Reed Nieman, Hans Lischka, Francisco B. C. Machado
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引用次数: 0

Abstract

In this work, the stability, aromaticity and radical character of pristine and eleven BN-doped armchair 5 and zigzag 5, 6, and 7 periacenes, were chosen for studying the effect of different doping schemes to stabilize the periacene, and to direct the open-shell density into specific regions of the PAH sheets. Ab initio multireference methods and different DFT functionals were used to analyze the singlet triplet (ST) energy. Moreover, a range of descriptors were used to characterize the open-shell character and aromaticity of the different doped structures. The overall results provide a good overview of the efficiency of the different doping topologies. In general, because of the closed-shell character of the borazine doping units, the role of the doping is to reduce the strong open-shell character of the pristine periacenes. Substitutions along the zigzag edges has a significant effect while doping along the armchair edges is not significant.

Abstract Image

Abstract Image

通过化学掺杂 BN 调整紫苏烯的芳香性、稳定性和类辐射特性
在这项工作中,选择了原始和11个bn掺杂的扶手椅5和之字形5,6和7的稳定性,芳香性和自由基特征,研究了不同掺杂方案对稳定邻环烯的影响,并将开壳密度引导到PAH片的特定区域。采用从头算多参考方法和不同的DFT泛函分析了单重态三重态(S - T)能量。此外,我们还使用了一系列描述符来表征不同掺杂结构的开壳性质和芳香性。总体结果提供了不同掺杂拓扑效率的良好概述。一般来说,由于硼氮杂环的闭壳性,掺杂的作用是降低原始环烯的强开壳性。锯齿形边缘的替换效果显著,而扶手椅边缘的掺杂效果不显著。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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