The molecular structure, electronic properties, and decomposition mechanism of FOX-7 under external electric field were calculated based on density functional theory

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-11-07 DOI:10.1007/s00894-024-06197-4
Jun Chen, Jiani Xu, Tingting Xiao, Peng Ma, Congming Ma
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Abstract

Context

Based on the density functional theory (DFT), we analyzed the changes of the FOX-7 molecule under external electric field (EEF) from multiple perspectives, including molecular structure, electronic structure, decomposition mechanism, frontier molecular orbitals (FMOs), and density of states (DOS). The results revealed that as the intensity of the positive EEF increased, the detonation performance of the FOX-7 molecule was significantly enhanced, while its thermal stability was also improved. This discovery challenges the traditional concept that explosives are inherently dangerous under external electric fields and provides new insights for research in related fields. To further explore the impact of EEF on the thermal stability of FOX-7, we conducted a thorough analysis of the mechanism by which EEF affects the decomposition process. Our findings indicate that applying a positive EEF significantly increases the energy required to overcome intramolecular hydrogen transfer and C-NO2 bond rupture, while having a relatively minor effect on the nitro isomerization process. This observation further demonstrates that the appropriate application of a positive EEF can enhance the detonation performance of FOX-7 without compromising its thermal stability. Further research revealed that as the intensity of the positive EEF increased, the electronegativity of the nitro group gradually enhanced, leading to an increase in the electronegativity of the oxygen atoms within it. This made the oxygen atoms more prone to participating in chemical reactions. This phenomenon also explains why the energy barrier required for nitro isomerization in FOX-7 gradually decreases as the intensity of the positive EEF increases.

Methods

Based on the density functional theory (DFT), the structural optimizations were performed both under applied EEF and without EEF at the B3LYP/6-311G (d, p) level. All optimized results were converged and exhibited no imaginary frequencies. Based on the optimized structures, single-point energy calculations were further conducted at the B3LYP/def2-TZVPP level. Subsequently, analyses of molecular structure, electronic structure, decomposition mechanism, frontier molecular orbitals, and density of states were carried out.

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基于密度泛函理论计算了 FOX-7 在外加电场下的分子结构、电子特性和分解机理
背景基于密度泛函理论(DFT),我们从分子结构、电子结构、分解机理、前沿分子轨道(FMOs)和状态密度(DOS)等多个角度分析了FOX-7分子在外电场(EEF)作用下的变化。结果表明,随着正EEF强度的增加,FOX-7分子的引爆性能显著提高,同时其热稳定性也得到改善。这一发现挑战了炸药在外部电场作用下具有固有危险性的传统观念,为相关领域的研究提供了新的启示。为了进一步探索 EEF 对 FOX-7 热稳定性的影响,我们对 EEF 影响分解过程的机制进行了深入分析。我们的研究结果表明,施加正 EEF 会显著增加克服分子内氢键转移和 C-NO2 键断裂所需的能量,而对硝基异构化过程的影响相对较小。这一观察结果进一步表明,适当使用正EEF可以提高FOX-7的引爆性能,而不会影响其热稳定性。进一步研究发现,随着正电子发射光谱强度的增加,硝基的电负性逐渐增强,导致其中氧原子的电负性增加。这使得氧原子更容易参与化学反应。这一现象也解释了为什么随着正 EEF 强度的增加,FOX-7 中硝基异构化所需的能量势垒会逐渐降低。方法基于密度泛函理论(DFT),在 B3LYP/6-311G (d, p) 水平上对应用 EEF 和不应用 EEF 的结构进行了优化。所有优化结果都趋于一致,并且没有出现虚频。在优化结构的基础上,进一步在 B3LYP/def2-TZVPP 水平上进行了单点能量计算。随后,对分子结构、电子结构、分解机制、前沿分子轨道和状态密度进行了分析。
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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