Investigating the decomposition mechanism of DNAN/DNB cocrystal explosive under high temperature using ReaxFF/lg molecular dynamics simulations

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xin-yi Li, Bao-guo Wang, Ya-fang Chen, ·Jian-sen Mao, ·Ji-hang Du, Li Yang
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Abstract

Context

DNAN/DNB cocrystals, as a newly developed type of energetic material, possess superior safety and thermal stability, making them a suitable alternative to traditional melt-cast explosives. Nonetheless, an exploration of the thermal degradation dynamics of the said cocrystal composite has heretofore remained uncharted. Consequently, we engaged the ReaxFF/lg force field modality to delve into the thermal dissociation processes of the DNAN/DNB cocrystal assembly across a spectrum of temperatures, encompassing 2500, 2750, 3000, 3250, and 3500 K. We analyzed the evolution of species, preliminary disintegration processes, and fluctuations in the quantification of terminal outcomes were examined. The findings suggest that 2,4-dinitroanisole (DNAN) undergoes a thorough phase of disassembly within a timespan of 218 ps, while 1,3-dinitrobenzene (DNB) completely decomposed within 228 ps, demonstrating that DNAN has lower thermal stability than DNB, but with no significant difference. The thermal dissociation of DNAN/DNB cocrystals at elevated temperatures reveals a triad of potential reaction sequences. Primordially, the denitration of DNAN transpires, succeeded by the denitration of DNB, culminating in the nitro-isomerization of the latter. This sequence implies that the nitro moieties within DNB possess inferior thermal resilience compared to their counterparts within the DNAN cocrystal matrix. An examination of the six resultant end products suggests a predominance of H2O, NO2, and H2 in comparison to the other byproducts, which may be indicative of the pyrolytic transformations occurring during the disassembly process.

Methods

This study first constructed the supercell model of DNAN/DNB eutectic crystal using the Materials Studio software and optimized the geometric structure of the model through the conjugate gradient algorithm. Then, the Nosé-Hoover method was used for NPT-MD simulation to further relax the model. Subsequently, molecular dynamics simulations were carried out using the LAMMPS software and the ReaxFF/lg force field. Simulation parameters were set, and NPT ensemble molecular dynamics simulations were performed at different temperatures. The simulation results were analyzed to reveal the thermal decomposition mechanism of DNAN/DNB eutectic crystal.

利用ReaxFF/lg分子动力学模拟研究了高温下DNAN/DNB共晶炸药的分解机理
dnan /DNB共晶作为一种新型高能材料,具有优越的安全性和热稳定性,是传统熔铸炸药的理想替代品。然而,迄今为止,对所述共晶复合材料的热降解动力学的探索仍然是未知的。因此,我们采用ReaxFF/lg力场模态来深入研究DNAN/DNB共晶组件在2500、2750、3000、3250和3500 K温度范围内的热解离过程。我们分析了物种的进化,初步的解体过程,以及最终结果量化的波动。结果表明,2,4-二硝基苯(DNAN)在218 ps内完全分解,而1,3-二硝基苯(DNB)在228 ps内完全分解,表明DNAN的热稳定性低于DNB,但差异不显著。DNAN/DNB共晶在高温下的热解离揭示了三种潜在的反应序列。首先,DNAN的脱硝发生,接着是DNB的脱硝,最终导致后者的硝基异构化。这一序列表明,DNB中的硝基分子与DNAN共晶基质中的硝基分子相比,具有较差的热弹性。对六种最终产物的检查表明,与其他副产物相比,H2O, NO2和H2占主导地位,这可能表明在分解过程中发生了热解转化。方法本研究首先利用Materials Studio软件构建DNAN/DNB共晶的超级单体模型,并通过共轭梯度算法对模型的几何结构进行优化。然后,采用nos - hoover方法进行NPT-MD仿真,进一步放宽模型。随后,利用LAMMPS软件和ReaxFF/lg力场进行分子动力学模拟。设置模拟参数,在不同温度下进行NPT系综分子动力学模拟。对模拟结果进行了分析,揭示了DNAN/DNB共晶的热分解机理。
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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