NH3OH+N5 - h的激波爆轰机理:有无核量子效应的深势分子动力学研究

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jikai Zhao, Jidong Zhang, Weijing Zhang
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引用次数: 0

摘要

作为一种新型的高能量密度、环境友好、低灵敏度的含能材料,环五唑酸盐正受到广泛的研究。然而,它们的爆炸机制仍不清楚。本研究建立了神经网络电位(NNP)来模拟五唑酸阴离子(N5 -)的代表盐NH3OH+N5 - - - - -的激波诱导爆轰过程。训练良好的NNP具有与DFT相当的高精度和高效率。基于nnp的大尺度分子动力学(MD)模拟结果表明,NH3OH+N5 - h的理想C-J爆轰速度为9.4 km/s,与Cheetah 7.0程序估算的值(9.93 km/s)一致。模拟结果表明,质子从NH3OH+转移到N5 - c是初始反应,而N5 - c的主要分解途径是开环反应,或者与其初始分解的中间叠氮阴离子N3 - c发生双分子反应形成N8环。量子化学计算表明,这些途径具有低激活障碍。研究了核量子效应对激波诱导化学反应的影响,结果表明,核量子修正不仅提高了预测理想爆速的精度,而且提高了模拟中的温度,从而导致NH3OH+N5 - h的激波诱导爆轰反应的不同反应机理,促进了N5 - h的开环反应,阻止了其与N3的反应。本研究提高了对环戊唑盐爆轰机理的认识。方法采用DeePMD-kit包和自制FORTRAN代码对NNP势进行训练。利用Vienna ab initio Simulation Package (VASP)软件进行了结构能和原子力的密度泛函理论(DFT)计算和从头算分子动力学(AIMD)计算。采用PAW法和GGA-PBE泛函法。采用多尺度冲击技术(MSST)和QB-MSST方法对LAMMPS进行了冲击波响应MD模拟。使用Gaussian 09程序在M06-2X/TZVP水平上进行量子化学计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shock-induced detonation mechanism of NH3OH+N5ˉ: a deep potential molecular dynamics study with and without nuclear quantum effect

Context

As a novel type of high-energy-density, environmentally friendly, and low-sensitivity energetic materials (EMs), cyclo-pentazolate salts are being extensively studied. However, their detonation mechanism remains unclear. This study developed a neural network potential (NNP) to simulate the shock-induced detonation process of NH3OH+N5ˉ, a representative salt of the pentazolate anion (N5ˉ). The well-trained NNP exhibits high precision comparable to DFT, as well as high efficiency. The NNP-based large-scale molecular dynamics (MD) simulations for NH3OH+N5ˉ produced an ideal C-J detonation velocity of 9.4 km/s, which is in agreement with the value estimated by the Cheetah 7.0 program (9.93 km/s). The simulation demonstrates that the proton transfer from NH3OH+ to N5ˉ is the initial reaction, while the primary decomposition pathway of N5ˉ is a ring-opening reaction, or the bimolecular reactions with its initial decomposition intermediate azide anion N3ˉ resulting in the formation of N8 ring. Quantum chemical calculations show that these pathways possess low activation barriers. The influence of nuclear quantum effects on shock-induced chemical reactions was also studied, which shows that nuclear quantum corrections not only improve the accuracy of predicted ideal detonation velocity but also improve temperature in simulations, which results in the different reaction mechanism of shock-induced detonation reaction of NH3OH+N5ˉ, facilitating the ring-opening reaction of N5ˉ ring and preventing its reaction with N3. This study enhances the understanding of the detonation mechanism of cyclo-pentazolate salts.

Methods

In this work, NNP potential was trained by the DeePMD-kit package and homemade FORTRAN code. The density functional theory (DFT) calculation of structural energies and atomic forces, as well as ab initio molecular dynamics (AIMD), was conducted using the Vienna Ab initio Simulation Package (VASP) software. The PAW method and the GGA-PBE functional were adopted. The shock wave response MD simulations were conducted by LAMMPS with the multiscale shock technique (MSST) and QB-MSST methods. Quantum chemical calculations were carried out at the M06-2X/TZVP level using the Gaussian 09 program.

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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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