Quantum chemical studies of carbon-based graphene-like nanostructures: from benzene to coronene

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2025-01-30 DOI:10.1007/s00894-025-06285-z
Alberto Soares Vanny, Arlan da Silva Gonçalves
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Abstract

Context

This study presents quantum chemical analysis of 14 distinct carbon-based nanostructures (CBN), ranging from simple molecules, like benzene, to more complex structures, such as coronene, which serves as an exemplary graphene-like model. The investigation focuses on elucidating the relationships between molecular orbital (MO) energies, the energy band gaps, electron occupation numbers (eON), electronic conduction, and the compound topologies, seeking to find the one that approaches most of a graphene-like structure for in silico studies. Through detailed examination of molecular properties including chemical hardness and chemical potential, we demonstrate that the electronic exchange between orbitals is directly influenced by the structural topology of the carbon-based nanostructures, as the electron occupation numbers and the molecular orbital energies. Raman theoretical analysis was performed, ensuring the approximation to a graphene structure by its experimental fingerprint comparison. The correlations presented here offer an approach for anticipating electronic conductivity in graphene-like materials, as well as the confirmation of coronene as a graphene nanostructure for theoretical analyses.

Method

The models were designed at Ghemical software optimized at Tripos5.2 force field and properly protonated on the peripheral carbons. The models were then optimized by PM7 semiempirical method using MOPAC2016 to minimize the gradient energy before applying the DFT calculations. After that, the model’s geometry was finally optimized at ab initio B3LYP hybrid functional and 6-31 G* basis, using ORCA5.0.4. The eON, the MO energies and the Raman spectrum were obtained with the same methods, making possible the spectrum extraction without the interference of H atoms, approaching the analyses to graphene-like topologies.

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碳基类石墨烯纳米结构的量子化学研究:从苯到冠烯。
背景:本研究展示了14种不同的碳基纳米结构(CBN)的量子化学分析,范围从简单的分子,如苯,到更复杂的结构,如冕烯,它可以作为石墨烯样模型的示例。研究的重点是阐明分子轨道(MO)能量、能带隙、电子占据数(eON)、电子传导和化合物拓扑之间的关系,寻求找到最接近于硅研究的类石墨烯结构。通过对碳基纳米结构的化学硬度和化学势等分子性质的详细研究,我们证明了碳基纳米结构的结构拓扑,如电子占据数和分子轨道能量,直接影响轨道间的电子交换。进行了拉曼理论分析,通过实验指纹比较确保了与石墨烯结构的近似。本文提出的相关性为预测石墨烯类材料中的电子导电性提供了一种方法,同时也为理论分析提供了确认冕烯为石墨烯纳米结构的方法。方法:采用化学软件设计模型,在Tripos5.2力场下优化,并在外围碳上适当质子化。在应用DFT计算之前,使用MOPAC2016对模型进行PM7半经验优化,使梯度能量最小化。最后,使用ORCA5.0.4,在从头开始的B3LYP混合函数和6-31 G*基上对模型的几何形状进行优化。用相同的方法获得了eON、MO能量和拉曼光谱,使得在没有氢原子干扰的情况下提取光谱成为可能,接近于对类石墨烯拓扑结构的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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