CHINESE JOURNAL OF ENERGETIC MATERIALS
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含能材料热解机理分析与诊断技术进展
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西北工业大学

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Advances in Analytical and Diagnostic Techniques for Thermal Decomposition Mechanisms of Energetic Materials
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Northwestern Polytechnical University

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    摘要:

    为深入理解含能材料热分解行为,本文综述了量子化学计算、分子动力学模拟、热分析联用表征以及光谱与结构表征等主要研究技术的应用进展,总结了其在反应路径识别、能量释放与结构演化表征方面的优势与局限。量子化学计算可解析反应势能面与初始键断裂过程,但受计算规模限制,主要适用于小分子体系;分子动力学模拟能够追踪原子运动与能量转移,适于分析典型分解路径,但时间尺度有限;热分析联用技术可同步获取热效应与气相产物信息,而对瞬态中间体的识别能力仍存在不足;光谱与结构表征技术可分析相变、键重排与价态变化等过程,但受分辨率约束,难以捕捉快速结构演化。通过对不同技术的比较分析,未来研究需加强理论模拟与原位高分辨实验的协同,结合机器学习势能函数、高通量计算与多尺度建模方法,推动含能材料热分解机理研究向多尺度耦合与可预测建模方向发展,以提升对复杂热分解行为的表征与预测能力。

    Abstract:

    To better understand the thermal decomposition behavior of energetic materials, recent advances in key theoretical methods and experimental techniques, including quantum chemical calculations, molecular dynamics simulations, coupled thermal analysis techniques, and spectroscopic and structural characterization methods were summarized. The capabilities and limitations of these approaches in identification of reaction pathways and characterization of energy release and structural evolution were discussed. Quantum chemical calculations provide detailed insights into potential energy surfaces and initial bond cleavage process, but due to the limitations of computational scale, they are primarily applicable to the small molecular systems. Molecular dynamics simulations enable tracking of atomic motion and energy transfer, making them suitable for analyzing typical decomposition pathways, but with limited time scales. Coupled thermal analysis techniques allow simultaneous characterization of thermal effects and gaseous products but have limited ability to identify transient intermediates. Spectroscopic and structural characterization methods can probe the processes of phase transitions, bond rearrangements, and valence state evolution, yet their resolution often hampers the observation of rapid structural changes. Based on the comparative analysis of different techniques, future studies should emphasize integrating theoretical simulations with in situ high-resolution diagnostics, combined with machine-learning potentials, high-throughput computation, and multiscale modeling to promote the research on the thermal decomposition mechanism of energetic materials towards multi-scale coupling and predictable modeling, and enhance the ability of characterization and prediction of complex thermal decomposition behaviors.

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宋朝强,柴贵权,覃元,等.含能材料热解机理分析与诊断技术进展[J].含能材料, 2026, 34(2):198-214. DOI:10.11943/CJEM2025251.
SONG Zhao-qiang, CHAI Gui-quan, QIN Yuan, et al. Advances in Analytical and Diagnostic Techniques for Thermal Decomposition Mechanisms of Energetic Materials[J]. Chinese Journal of Energetic Materials, 2026, 34(2):198-214. DOI:10.11943/CJEM2025251.

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历史
  • 收稿日期: 2025-11-17
  • 最后修改日期: 2026-02-03
  • 录用日期: 2026-01-09
  • 在线发布日期: 2026-02-04
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