Substituent effects on the thermal stability and initial decomposition of methylene bis(dinitropyrazole) derivatives

IF 2.9 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yuqin Chu, Peng Zhang, Yang Zhu, Peng Ma, Congming Ma
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Abstract

Context

Elucidating the role of functional-group substitution in the thermal stability of energetic materials is of considerable importance for the rational development of advanced energetic compounds. In this study, density functional theory (DFT) calculations, together with electronic-structure, weak-interaction, crystal-packing, and transition-state analyses, were performed to systematically explore the influence of amino (A), hydroxyl (B), and azido (C) substituents on methylene-bridged bis(3,5-dinitropyrazole) (MBDNP) derivatives. The results reveal that functional-group substitution induces distinct electronic redistribution, leading to significant differences in key bond stability, intra- and intermolecular interactions, and crystal packing. Among the three derivatives, A exhibits the strongest electron delocalization, the most favorable interaction network, and the strongest intermolecular interactions, whereas C shows the weakest molecular and crystal stability. Transition-state calculations further demonstrate that different substituents alter the preferred initial decomposition pathways, and the calculated activation free energies follow the order A > B > C, consistent with the experimentally observed decomposition temperatures. These findings demonstrate that the thermal stability of MBDNP derivatives is governed by the synergistic effects of electronic structure, molecular interactions, crystal packing, and initial decomposition kinetics, providing molecular-level insights into the substituent-dependent thermal decomposition mechanism of energetic materials.

Methods

Density functional theory (DFT) calculations at the M06-2X/def2-TZVPP level were performed to investigate the electronic structures and initial decomposition behavior of compounds A–C. Natural bond orbital (NBO), electrostatic potential (ESP), localized bond order (LBO), interaction region indicator (IRI), and quantum theory of atoms in molecules (QTAIM) analyses, together with Hirshfeld surface, energy framework, and transition-state analyses, were further performed to clarify how different substituents influence the electronic characteristics, intermolecular interactions, crystal-packing behavior, and thermal stability of the studied compounds.

取代基对亚甲基双(二硝基吡唑)衍生物热稳定性和初始分解的影响。
背景:阐明官能团取代在含能材料热稳定性中的作用,对先进含能化合物的合理开发具有重要意义。本研究通过密度泛函理论(DFT)计算,结合电子结构、弱相互作用、晶体填充和过渡态分析,系统地探讨了氨基(A)、羟基(B)和叠氮基(C)取代基对亚甲基桥接双(3,5-二硝基吡唑)(MBDNP)衍生物的影响。结果表明,官能团取代诱导了明显的电子重分布,导致键稳定性、分子内和分子间相互作用和晶体堆积的显著差异。在三个衍生物中,A具有最强的电子离域,最有利的相互作用网络和最强的分子间相互作用,而C具有最弱的分子和晶体稳定性。过渡态计算进一步表明,不同取代基改变了初始分解的优先路径,计算得到的活化自由能为A > B > C,与实验观察到的分解温度一致。这些发现表明,MBDNP衍生物的热稳定性是由电子结构、分子相互作用、晶体堆积和初始分解动力学的协同效应控制的,为含能材料依赖取代基的热分解机制提供了分子水平的见解。方法:通过M06-2X/def2-TZVPP水平的密度泛函理论(DFT)计算,研究化合物A-C的电子结构和初始分解行为。通过自然键轨道(NBO)、静电势(ESP)、定域键序(LBO)、相互作用区指示(IRI)和分子原子量子理论(QTAIM)分析,以及Hirshfeld表面、能量框架和过渡态分析,进一步阐明了不同取代基对所研究化合物的电子特性、分子间相互作用、晶体填充行为和热稳定性的影响。
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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