Analytical Techniques in Molecular Simulation and Its Application in Energetic Materials
Source abstract
Abstract
Efficient design on the molecular and crystal levels is an urgent need to accelerate the development of energetic materials (EMs), and the performance analysis of microstructures is the most important thing in the research and design of EMs. Although molecular simulation methods are widely used in various research fields, there are few comprehensive reviews on analytical techniques. It is urgent to understand the basic principles of various analytical methods in the research of EMs. In this article, the characterization/analysis methods in quantum mechanics and molecular mechanics simulation technology are summarized, and their applications in the field of EMs are listed. At the molecular level, energy, composition, geometric structure, and electronic structure are all related to macroscopic properties, and most of them have been widely used as variables in numerical models to predict and compare the properties of EMs. In addition, this paper emphasizes that the correlation between theoretical calculation and confirmatory experiment needs to be further verified because the current experimental characterization can also be dealt with by molecular simulation, which is helpful to the popularization and application of theoretical research.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Energetic Materials and Combustion · High-pressure geophysics and materials · Rocket and propulsion systems research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Molecules and Materials Computation Institute, School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing 210094, P.R. China
References (100+)
Show source-provided references
1. 10.1007/s12598-018-1173-010.1007/s12598-018-1173-0 ↗
2. Zhu Y. · Journal of Chemical Industry and Engineering (China) · 2004 · 55 · 1213
3. Zhang, P. X.; Chen, J. H.; Wei, Q. Molecular Simulation and Calculation of Doped Materials; Science Press: Peking, 2012; pp 8–9.
4. Yan, L. M.; Zhu, S. H. Theory and Practice of Molecular Dynamics Simulation; Science Press: Peking, 2013; pp 15–18.
5. 10.3866/PKU.DXHX20190103510.3866/PKU.DXHX201901035 ↗
6. 10.1016/j.commatsci.2019.03.03510.1016/j.commatsci.2019.03.035 ↗
7. 10.1007/s00214-018-2297-x10.1007/s00214-018-2297-x ↗
8. 10.1016/j.jmgm.2024.10873310.1016/j.jmgm.2024.108733 ↗
9. 10.1039/D0CP01526A10.1039/D0CP01526A ↗
10. 10.1021/acs.langmuir.2c0274310.1021/acs.langmuir.2c02743 ↗
11. 10.1021/acs.langmuir.3c0092810.1021/acs.langmuir.3c00928 ↗
12. 10.1038/npjcompumats.2015.1110.1038/npjcompumats.2015.11 ↗
13. Yan Q. L. · Chinese Journal of Explosives & Propellants · 2016 · 39 · 1
14. Chang X. Y. · Chinese Journal of Explosives & Propellants · 2023 · 46 · 361
15. Xiao C. · Chinese Journal of Explosives & Propellants · 2022 · 45 · i
16. 10.1007/s00894-023-05605-510.1007/s00894-023-05605-5 ↗
17. 10.1039/C7TA05394K10.1039/C7TA05394K ↗
18. 10.1107/S010876730209762310.1107/S0108767302097623 ↗
19. 10.1021/acs.langmuir.4c0151210.1021/acs.langmuir.4c01512 ↗
20. 10.1016/j.enmf.2021.10.00410.1016/j.enmf.2021.10.004 ↗
21. 10.1063/1.46430410.1063/1.464304 ↗
22. 10.1103/PhysRev.140.A113310.1103/PhysRev.140.A1133 ↗
23. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
24. Jain R. · Indian J. Pure Ap Phy · 2004 · 31 · 43
25. 10.11943/j.issn.1006-9941.2018.01.00410.11943/j.issn.1006-9941.2018.01.004 ↗
26. 10.1016/j.dt.2023.02.01310.1016/j.dt.2023.02.013 ↗
27. Wang G. X. · Acta Chemica Sinica · 2007 · 65 · 517
28. Ge Z. X. · Computers and applied chemistry · 2007 · 45 · 1714
29. Cao X. · Energetic materials · 2012 · 20 · 643
30. 10.1007/s00894-016-2967-310.1007/s00894-016-2967-3 ↗
31. 10.1021/acsaem.9b0004910.1021/acsaem.9b00049 ↗
32. 10.1016/j.jhazmat.2006.06.13510.1016/j.jhazmat.2006.06.135 ↗
33. 10.1016/j.jhazmat.2005.10.00910.1016/j.jhazmat.2005.10.009 ↗
34. 10.1016/0166-1280(94)80117-710.1016/0166-1280(94)80117-7 ↗
35. 10.1002/prep.20150035110.1002/prep.201500351 ↗
36. 10.1524/zkri.220.5.567.6507510.1524/zkri.220.5.567.65075 ↗
37. 10.1016/j.jcrysgro.2024.12790010.1016/j.jcrysgro.2024.127900 ↗
38. 10.1109/MCSE.2022.314171410.1109/MCSE.2022.3141714 ↗
39. 10.1166/jctn.2013.270010.1166/jctn.2013.2700 ↗
40. 10.1080/08927022.2017.141371110.1080/08927022.2017.1413711 ↗
41. 10.1103/PhysRev.159.9810.1103/PhysRev.159.98 ↗
42. Honeycutt R. W. · Methods in Computational Physics · 1970 · 20 · 136
43. 10.1016/0021-9991(76)90059-010.1016/0021-9991(76)90059-0 ↗
44. 10.1021/acs.langmuir.4c0355310.1021/acs.langmuir.4c03553 ↗
45. 10.1038/s41586-020-2242-810.1038/s41586-020-2242-8 ↗
46. 10.1002/adma.20210280710.1002/adma.202102807 ↗
47. 10.1021/acs.langmuir.3c0334810.1021/acs.langmuir.3c03348 ↗
48. 10.1016/j.isci.2021.10224010.1016/j.isci.2021.102240 ↗
49. 10.1038/s41598-022-16221-310.1038/s41598-022-16221-3 ↗
50. 10.1063/5.007274510.1063/5.0072745 ↗
51. 10.1002/advs.20210364810.1002/advs.202103648 ↗
52. 10.1021/acs.jpca.9b0620810.1021/acs.jpca.9b06208 ↗
53. 10.1038/s41467-018-05761-w10.1038/s41467-018-05761-w ↗
54. Haile, J. M. Molecular Dynamics Simulation: Elementary Methods; Wiley: New York, 1992; pp 57–59.
55. Qian Y. N. · Safety, Health and Environment · 2021 · 21 · 1
56. 10.1016/j.nuclphysa.2005.03.08610.1016/j.nuclphysa.2005.03.086 ↗
57. 10.1021/acs.energyfuels.0c0159610.1021/acs.energyfuels.0c01596 ↗
58. 10.3390/sym1211176710.3390/sym12111767 ↗
59. 10.1021/acs.jctc.1c0017710.1021/acs.jctc.1c00177 ↗
60. 10.1007/s12274-023-6311-910.1007/s12274-023-6311-9 ↗
61. 10.1002/prep.20160004810.1002/prep.201600048 ↗
62. 10.1021/jp509582x10.1021/jp509582x ↗
63. 10.1021/acs.jpcc.6b1154310.1021/acs.jpcc.6b11543 ↗
64. 10.1103/PhysRevLett.105.18830210.1103/PhysRevLett.105.188302 ↗
65. 10.1021/jp404907b10.1021/jp404907b ↗
66. 10.1021/ja808196e10.1021/ja808196e ↗
67. 10.1021/jp905969y10.1021/jp905969y ↗
68. 10.1039/D0CP02796K10.1039/D0CP02796K ↗
69. 10.1016/j.cplett.2020.13806710.1016/j.cplett.2020.138067 ↗
70. Chen J. · Chinese Journal of Energetic materials · 2018 · 26 · 483
71. Xia L. · Acta Chimica Sinica · 2008 · 66 · 874
72. Cao, X. X. Molecular Dynamics Simulation of Plasticizer/Nitrocellulose. Master degree thesis, North University of China, Taiyuan, China, 2023; pp 79–86.
73. Qin L. Q. · Modern Industrial Economy and Informatization · 2021 · 11 · 15
74. 10.11943/j.issn.1006-9941.2015.09.00510.11943/j.issn.1006-9941.2015.09.005 ↗
75. 10.1002/mats.20035000210.1002/mats.200350002 ↗
76. 10.1021/ma035257710.1021/ma0352577 ↗
77. 10.1021/acs.jpclett.3c0139210.1021/acs.jpclett.3c01392 ↗
78. 10.1021/acs.jpca.0c0458810.1021/acs.jpca.0c04588 ↗
79. 10.3390/ijms24151206710.3390/ijms241512067 ↗
80. 10.1021/acsomega.3c0871110.1021/acsomega.3c08711 ↗
81. 10.1016/j.cinorg.2023.10001510.1016/j.cinorg.2023.100015 ↗
82. 10.1016/j.commatsci.2019.10913510.1016/j.commatsci.2019.109135 ↗
83. 10.1007/s00396-016-3999-z10.1007/s00396-016-3999-z ↗
84. 10.1021/acs.langmuir.3c0246610.1021/acs.langmuir.3c02466 ↗
85. Owen A. B. · 1998 · 1 · 571
86. 10.1016/j.csda.2004.03.01910.1016/j.csda.2004.03.019 ↗
87. Jiang H. Y. · Chinese Journal of Explosives & Propellants · 2023 · 46 · 47
88. 10.1021/acs.langmuir.2c0172610.1021/acs.langmuir.2c01726 ↗
89. 10.1021/acs.langmuir.3c0059510.1021/acs.langmuir.3c00595 ↗
90. 10.1021/acs.langmuir.7b0205810.1021/acs.langmuir.7b02058 ↗
91. 10.1063/1.36853910.1063/1.368539 ↗
92. 10.1021/la501466z10.1021/la501466z ↗
93. 10.1021/acs.langmuir.4c0268610.1021/acs.langmuir.4c02686 ↗
94. 10.1103/PhysRevB.75.20533910.1103/PhysRevB.75.205339 ↗
95. 10.1021/cg501871410.1021/cg5018714 ↗
96. 10.1021/acs.cgd.5b0060510.1021/acs.cgd.5b00605 ↗
97. 10.1103/PhysRevB.78.24542710.1103/PhysRevB.78.245427 ↗
98. 10.1016/j.jpowsour.2009.12.13010.1016/j.jpowsour.2009.12.130 ↗
99. 10.1021/jp036508g10.1021/jp036508g ↗
100. 10.1021/jp071097f10.1021/jp071097f ↗