Prediction of reaction kinetics for CL-20 and host–guest crystals under high temperature and pressure using neuroevolution potential

吸热过程 热分解 活化能 化学 分子 化学分解过程 分解 动力学 热力学 物理化学 有机化学 量子力学 物理 吸附
作者
Zhi-Qiang Hu,Yifan Xie,Rui Liu,Jian-Li Shao,Pengwan Chen
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:162 (17) 被引量:3
标识
DOI:10.1063/5.0258001
摘要

The energetic host-guest approach has been successfully applied to design various novel crystal structures. A neuroevolution potential was proposed to predict the reactive kinetics of CL-20 crystals under high temperature and pressure. In this study, molecular dynamics simulations were conducted to investigate the shock compression and thermal decomposition behaviors. During the shock compression process, temperature monitoring revealed the transition of the crystal from the unreacted Hugoniot state to the reacted Hugoniot state, which occurred after the decomposition of CL-20 molecules. The temperature rise in the reacted state followed the order: N2O > CO2 > H2O2 > NCCH3 > β > α > γ > ε. These indicate that guest molecules facilitate the reaction under shock conditions. During the thermal decomposition process, monitoring the potential energy evolution showed that the initial decomposition of CL-20 molecules is an endothermic reaction, primarily producing NO2. As the temperature increased, NO2 was further consumed, and CL-20 underwent a ring-opening reaction, primarily generating CO2. NCCH3 and H2O2 molecules were consumed during the endothermic process, showing the largest and smallest potential energy changes, respectively. N2O molecules were consumed during the formation of final products, while CO2 and H2O were the final products and were not consumed. The activation energy ranking of the reactions was ε > β > γ > NCCH3 > N2O > CO2 > α > H2O2. These results provide an atomic-level perspective for controlling the detonation performance of energetic materials under high temperature and pressure.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
天天快乐应助LLN采纳,获得10
1秒前
打打应助星河采纳,获得10
3秒前
大芳儿发布了新的文献求助10
3秒前
Xuehai完成签到,获得积分10
3秒前
英姑应助aa采纳,获得10
3秒前
3秒前
pomelo发布了新的文献求助10
3秒前
挹翠揽星发布了新的文献求助10
3秒前
MrFANG完成签到,获得积分10
4秒前
4秒前
4秒前
130完成签到,获得积分10
5秒前
6秒前
中宝完成签到,获得积分10
6秒前
受伤耳机完成签到 ,获得积分10
6秒前
Xuehai发布了新的文献求助30
7秒前
Kane发布了新的文献求助10
7秒前
7秒前
科研通AI6.4应助蓝血之人采纳,获得10
7秒前
zzz关闭了zzz文献求助
8秒前
吴先生完成签到,获得积分10
8秒前
所所应助欣喜石头采纳,获得10
8秒前
8秒前
9秒前
lm发布了新的文献求助10
9秒前
9秒前
布拉布拉完成签到,获得积分10
9秒前
星河完成签到,获得积分10
9秒前
科研发布了新的文献求助10
10秒前
10秒前
CipherSage应助miwu1232采纳,获得10
10秒前
复杂的雪巧完成签到,获得积分10
10秒前
能干雁凡发布了新的文献求助10
11秒前
情怀应助pomelo采纳,获得10
11秒前
阳光土豆完成签到,获得积分10
12秒前
13秒前
momo发布了新的文献求助30
13秒前
科研通AI6.3应助Xuehai采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Metallurgy at high pressures and high temperatures 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6342776
求助须知:如何正确求助?哪些是违规求助? 8157906
关于积分的说明 17149454
捐赠科研通 5399155
什么是DOI,文献DOI怎么找? 2859736
邀请新用户注册赠送积分活动 1837814
关于科研通互助平台的介绍 1687548