高温高压下FOX-7分解反应的分子动力学模拟

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Dandan Li, Wenpeng Wang, Jingzhao Cao, Qijun Liu
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引用次数: 0

摘要

采用ReaxFF-lg反应力场分子动力学方法研究了FOX-7在高温(2750 ~ 3750 K)和高压(0 ~ 50 GPa)下的分解过程,揭示了其热力学演化和产物形成机理。高温高压条件下的分解产物均为NO2、NO、N2、H2O、CO2、HNCO、H2、CO和NH3。其中,中间产物为NO2和NO,稳定产物为N2、H2O、CO2、HNCO、H2、CO和NH3。N2始终是最丰富的产物,而HNCO是最不丰富的物质。一般来说,这些产物的产率与温度呈正相关,与压力负相关。然而,在高压下,NH3含量随着压力的增加而增加。FOX-7的初始分解途径为:C-NO2裂解(生成NO2)、N-O断裂(释放O)和N-H解离(释放H)。本文研究了FOX-7在高温高压极端条件下的热分解行为,揭示了FOX-7的分解途径,为研究其他类似物质的分解行为提供了支持。方法采用ReaxFF-lg力场的大规模原子/分子大规模并行模拟器(LAMMPS)对FOX-7进行分子动力学模拟。基于x射线衍射数据构建了一个2 × 4 × 2的超级单体,进行了几何优化(0.1 fs时间步长),通过NVE系综(10 ps,从0到300 K加热)和NPT系综(15 ps, 300 K)进行了平衡,验证了ReaxFF-lg的适用性。为了研究高温高压对FOX-7热分解的影响,采用了两种方法。首先,在NVE集成下,将系统加热到目标温度(2750-3750 k)超过150 ps,然后保持150 ps (0.1 fs步长,周期边界)。其次,通过NPT系综在300 K下施加初始压力(0-50 GPa) 20 ps,然后在NVE下加热到3500 K,超过50 ps。每隔10秒记录一次原子轨迹、物质和热力学数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular dynamics simulation of FOX-7 decomposition reaction under high temperature and pressure

Molecular dynamics simulation of FOX-7 decomposition reaction under high temperature and pressure

Context

The decompositions of FOX-7 under high temperatures (2750–3750 K) and high pressures (0–50 GPa) were investigated using the ReaxFF-lg reactive force field molecular dynamics method, revealing its thermodynamic evolution and product formation mechanisms. The decomposition products are all NO2, NO, N2, H2O, CO2, HNCO, H2, CO and NH3, under high-temperatures and high-pressures conditions. Among these products, the intermediate products are NO2 and NO, and the stabilization products are N2, H2O, CO2, HNCO, H2, CO and NH3. And N2 is consistently the most abundant product, while HNCO is the least abundant substance. In general, the yield of these products shows a positive correlation with temperature and a negative correlation with pressure. However, NH3 content increases as pressure rises under high pressures. Additionally, FOX-7’s initial decomposition pathways are: C–NO2 cleavage (yielding NO2), N–O rupture (releasing O) and N–H dissociation (releasing H). This paper investigates the thermal decomposition behavior of FOX-7 under extreme conditions of high temperature and high pressure, revealing its decomposition pathway and providing support for the study of the decomposition behavior of other similar substances.

Methods

Molecular dynamics simulations of FOX-7 were performed using Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) with the ReaxFF-lg force field. A 2 × 4 × 2 supercell was constructed based on X-ray diffraction data, optimized geometrically (0.1 fs time step), equilibrated via NVE ensemble (10 ps, heated from 0 to 300 K) and NPT ensemble (15 ps, 300 K), verifying the applicability of ReaxFF-lg. To study high-temperature and high-pressure effects on FOX-7 thermal decomposition, two approaches were used. First, under NVE ensemble, the system was heated to target temperatures (2750—3750 K.) over 150 ps, then maintained for 150 ps (0.1 fs step, periodic boundaries). Second, initial pressures (0–50 GPa) were applied at 300 K via NPT ensemble for 20 ps, followed by heating to 3500 K over 50 ps under NVE. Atomic trajectories, species, and thermodynamic data were recorded every 10 fs.

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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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