• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于密度泛函紧束缚分子动力学模拟的高压下硝基甲烷中的反应速率

Reaction Rates in Nitromethane under High Pressure from Density Functional Tight Binding Molecular Dynamics Simulations.

作者信息

Perriot Romain, Cawkwell M J, Martinez Enrique, McGrane Shawn D

机构信息

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.

Shock and Detonation Physics, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.

出版信息

J Phys Chem A. 2020 Apr 30;124(17):3314-3328. doi: 10.1021/acs.jpca.9b11897. Epub 2020 Apr 20.

DOI:10.1021/acs.jpca.9b11897
PMID:32227951
Abstract

We use density functional tight binding (DFTB) molecular dynamics (MD) simulations to determine the reaction rates of nitromethane CHNO (NM) under high pressure ( = 14-28 GPa), and temperature ( = 1450-1850 K). DFTB-MD simulations performed with the same initial conditions (, ) reveal a stochastic behavior, both in terms of reaction times and chemical paths. By running series of MD simulations, we are able to obtain average reaction times with quantified errors and devise a simple two-step model for NM explosion: ignition/explosion. While our model bypasses the chemical complexity due to the numerous reaction paths and intermediates observed during reactions, the chemistry is accounted for via the accurate parameterization of the DFTB model, and our results suggest a single main reaction pathway for the pressure range considered here, dominated in the earlier stages by the formation of the aci-ion, CHNOO. By fitting our data to a Frank-Kamenetskii model, we extract prefactors and pressure-independent activation energies and volumes for the ignition and explosion stages. A two-step model is then built and compared to experimental observations. Single and two-step Arrhenius models are also provided for comparison with literature data. This work presents an efficient way of investigating the reactivity of high explosives by performing electronic structure-based MD simulations and provides reaction rates for simplified models that can be implemented into hydrocodes.

摘要

我们使用密度泛函紧束缚(DFTB)分子动力学(MD)模拟来确定高压(14 - 28吉帕)和高温(1450 - 1850开尔文)下硝基甲烷CHNO(NM)的反应速率。在相同初始条件( , )下进行的DFTB - MD模拟揭示了反应时间和化学路径方面的随机行为。通过运行一系列MD模拟,我们能够获得具有量化误差的平均反应时间,并设计出一个用于NM爆炸的简单两步模型:点火/爆炸。虽然我们的模型绕过了由于反应过程中观察到的众多反应路径和中间体导致的化学复杂性,但化学过程通过DFTB模型的精确参数化来体现,并且我们的结果表明在此考虑的压力范围内存在单一的主要反应路径,在早期阶段以酸根离子CHNOO的形成为主。通过将我们的数据拟合到弗兰克 - 卡门涅茨基模型,我们提取了点火和爆炸阶段的预指数以及与压力无关的活化能和体积。然后构建了一个两步模型并与实验观测结果进行比较。还提供了单步和两步阿累尼乌斯模型以与文献数据进行比较。这项工作提出了一种通过基于电子结构的MD模拟来研究高爆炸药反应性的有效方法,并为可应用于流体力学程序的简化模型提供了反应速率。

相似文献

1
Reaction Rates in Nitromethane under High Pressure from Density Functional Tight Binding Molecular Dynamics Simulations.基于密度泛函紧束缚分子动力学模拟的高压下硝基甲烷中的反应速率
J Phys Chem A. 2020 Apr 30;124(17):3314-3328. doi: 10.1021/acs.jpca.9b11897. Epub 2020 Apr 20.
2
Nitromethane decomposition under high static pressure.硝甲烷在高压下的分解。
J Phys Chem B. 2010 Jul 29;114(29):9420-8. doi: 10.1021/jp1035508.
3
Density functional tight binding-based free energy simulations in the DFTB+ program.基于密度泛函紧束缚的自由能模拟在 DFTB+程序中。
J Comput Chem. 2018 Nov 5;39(29):2452-2458. doi: 10.1002/jcc.25583. Epub 2018 Sep 20.
4
Structural Properties of Metal-Organic Frameworks at Elevated Thermal Conditions via a Combined Density Functional Tight Binding Molecular Dynamics (DFTB MD) Approach.通过组合密度泛函紧束缚分子动力学(DFTB MD)方法研究金属有机框架在高温条件下的结构性质。
J Phys Chem C Nanomater Interfaces. 2023 Jan 10;127(3):1560-1575. doi: 10.1021/acs.jpcc.2c05103. eCollection 2023 Jan 26.
5
Large-Scale Quantum-Mechanical Molecular Dynamics Simulations Using Density-Functional Tight-Binding Combined with the Fragment Molecular Orbital Method.结合片段分子轨道方法使用密度泛函紧束缚方法进行大规模量子力学分子动力学模拟
J Phys Chem Lett. 2015 Dec 17;6(24):5034-9. doi: 10.1021/acs.jpclett.5b02490. Epub 2015 Dec 7.
6
A density functional tight binding model with an extended basis set and three-body repulsion for hydrogen under extreme thermodynamic conditions.一种在极端热力学条件下用于氢的具有扩展基组和三体排斥作用的密度泛函紧束缚模型。
J Phys Chem A. 2014 Jul 24;118(29):5520-8. doi: 10.1021/jp5036713. Epub 2014 Jul 14.
7
Development of Chemical Kinetics Models from Atomistic Reactive Molecular Dynamics Simulations: Application to Iso-octane Combustion and Rubber Ablative Degradation.基于原子反应分子动力学模拟的化学动力学模型开发:应用于异辛烷燃烧和橡胶烧蚀降解
J Phys Chem A. 2022 Jun 2;126(21):3358-3372. doi: 10.1021/acs.jpca.2c00901. Epub 2022 May 19.
8
Reactive Molecular Dynamics Simulation of Fullerene Combustion Synthesis: ReaxFF vs DFTB Potentials.富勒烯燃烧合成的反应分子动力学模拟:ReaxFF与DFTB势能方法
J Chem Theory Comput. 2011 Jul 12;7(7):2040-8. doi: 10.1021/ct200197v. Epub 2011 Jun 15.
9
Ranking the Drop-Weight Impact Sensitivity of Common Explosives Using Arrhenius Chemical Rates Computed from Quantum Molecular Dynamics Simulations.利用量子分子动力学模拟计算的 Arrhenius 化学速率对常见爆炸物的落锤冲击感度进行排序。
J Phys Chem A. 2020 Jan 9;124(1):74-81. doi: 10.1021/acs.jpca.9b10808. Epub 2019 Dec 30.
10
Molecular dynamics simulations of the amino acid-ZnO (10-10) interface: a comparison between density functional theory and density functional tight binding results.氨基酸与氧化锌(10-10)界面的分子动力学模拟:密度泛函理论与密度泛函紧束缚结果的比较
J Chem Phys. 2014 Jun 21;140(23):234707. doi: 10.1063/1.4882280.

引用本文的文献

1
First principles calculations of electronic, vibrational, and thermodynamic properties of 3,6-dinitro-1,2,4,5-tetrazine biguanide.3,6-二硝基-1,2,4,5-四嗪双胍的电子、振动和热力学性质的第一性原理计算
J Mol Model. 2025 Apr 21;31(5):142. doi: 10.1007/s00894-025-06356-1.
2
An Integrated Experimental and Modeling Approach for Assessing High-Temperature Decomposition Kinetics of Explosives.一种用于评估炸药高温分解动力学的综合实验与建模方法。
J Am Chem Soc. 2024 Sep 25;146(38):26286-26296. doi: 10.1021/jacs.4c08424. Epub 2024 Sep 11.
3
Understanding Explosive Sensitivity with Effective Trigger Linkage Kinetics.
通过有效的触发连锁动力学理解爆炸敏感性。
ACS Phys Chem Au. 2022 Jun 24;2(5):448-458. doi: 10.1021/acsphyschemau.2c00022. eCollection 2022 Sep 28.
4
Identifying the Molecular Properties that Drive Explosive Sensitivity in a Series of Nitrate Esters.鉴定一系列硝酸酯中导致爆炸敏感性的分子特性。
J Phys Chem Lett. 2022 Oct 13;13(40):9422-9428. doi: 10.1021/acs.jpclett.2c02701. Epub 2022 Oct 3.