Thermal decomposition and shock response mechanism of DNTF: Deep potential molecular dynamics simulations

被引:1
作者
Jiang, Jun [1 ]
Yu, Yin [1 ]
Mei, Zheng [2 ]
Yi, Zhen-Xin [1 ]
Ju, Xue-Hai [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Chem Engn, Key Lab Soft Chem & Funct Mat, MOE, Nanjing 210094, Peoples R China
[2] Hunan Vanguard Grp CO LTD, Res Inst Guidance Weap Equipments, Changsha, Peoples R China
关键词
Deep potential; DNTF; Decomposition mechanism; Molecular simulation; FORCE-FIELD; REAXFF;
D O I
10.1016/j.energy.2024.133799
中图分类号
O414.1 [热力学];
学科分类号
摘要
A neural network deep potential (DP) is developed for the shock response and thermal decomposition mechanisms of 3,4-Bis(3-nitrofurazan-4-yl)furoxan (DNTF). This DP potential, trained on ab initio datasets, achieves the accuracy of density functional theory (DFT) and higher computational efficiency. The simulation results show that DNTF is anisotropic under shock loading. And the critical shock decomposition temperatures along the [100], [010], and [001] directions are 463.64 K, 451.85 K, and 486.69 K, respectively. For the first time, the low temperature (<750 K) decomposition of DNTF is successfully simulated using molecular dynamics combined with DP model. The decomposition of DNTF begins with the O-N bond opening of the furoxan ring, followed by the breaking of the C-NO2 bond and opening of the furazan rings, under thermal conditions. The critical thermal decomposition is between 458.3 K and 562.5 K at a heating rate of 13.5 K/ps. The final products are CO2, N-2, and CO, and the main intermediates are NO2, NO, and N2O. The activation energy of decomposition is 142.4 kJ/mol obtained by Ozawa method. This study not only provides a powerful tool for investigating the performance of DNTF but also offers a feasible approach for other energetic materials, advancing the field significantly.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Deep potential molecular dynamics simulations of low-temperature plasma-surface interactions
    Kounis-Melas, Andreas
    Vella, Joseph R.
    Panagiotopoulos, Athanassios Z.
    Graves, David B.
    JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A, 2025, 43 (01):
  • [32] Molecular dynamics simulations on AlCl3-LiCl molten salt with deep learning potential
    Bu, Min
    Liang, Wenshuo
    Lu, Guimin
    COMPUTATIONAL MATERIALS SCIENCE, 2022, 210
  • [33] Molecular dynamics simulations of shock initiation of hexanitrohexaazaisowurtzitane/trinitrotoluene cocrystal
    Liu Hai
    Li Qi-Kai
    He Yuan-Hang
    ACTA PHYSICA SINICA, 2015, 64 (01)
  • [34] MOLECULAR DYNAMICS SIMULATIONS OF SHOCK LOADING OF MATERIALS: A REVIEW AND TUTORIAL
    Wood, Mitchell A.
    Cherukara, Mathew J.
    Antillon, Edwin
    Strachan, Alejandro
    REVIEWS IN COMPUTATIONAL CHEMISTRY, VOL 30, 2017, 30 : 43 - 92
  • [35] Silver Tarnishing Mechanism Revealed by Molecular Dynamics Simulations
    Saleh, Gabriele
    Xu, Chen
    Sanvito, Stefano
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2019, 58 (18) : 6017 - 6021
  • [36] Molecular dynamics simulations of the thermal stability of tteRBP and ecRBP
    Feng, Xian-li
    Zhao, Xi
    Yu, Hui
    Sun, Tie-dong
    Huang, Xu-ri
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2013, 31 (10) : 1086 - 1100
  • [37] Reactive molecular dynamics insight into the thermal decomposition mechanism of 2,6-Bis(picrylamino)-3,5-dinitropyridine
    Fu, Jianbo
    Ren, Hui
    Wu, Xinzhou
    Chen, Yongjin
    Zhang, Mi
    Cheng, Yazhi
    DEFENCE TECHNOLOGY, 2024, 33 : 134 - 146
  • [38] Molecular dynamics simulations of solutions at constant chemical potential
    Perego, C.
    Salvalaglio, M.
    Parrinello, M.
    JOURNAL OF CHEMICAL PHYSICS, 2015, 142 (14)
  • [39] Reactive molecular dynamics simulation of thermal decomposition for nano-aluminized explosives
    Mei, Zheng
    An, Qi
    Zhao, Feng-Qi
    Xu, Si-Yu
    Ju, Xue-Hai
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2018, 20 (46) : 29341 - 29350
  • [40] Reactive molecular dynamics simulation of thermal decomposition for nano-FOX-7
    She, Chongchong
    Jin, Shaohua
    Chen, Shusen
    Li, Lijie
    Shu, Qinghai
    Chen, Yu
    Wang, Junfeng
    Wu, Nana
    Chen, Minglei
    Chen, Kun
    APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2021, 127 (11):