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通过声子预测含能材料的爆轰性能。

Predicting the detonation properties of energetic materials through phonons.

作者信息

Lei Si-Jia, Yuan Wen-Shuo, Liu Fu-Sheng, Liu Zheng-Tang, Liu Qi-Jun

机构信息

Bond and Band Engineering Group, School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, 610031, People's Republic of China.

State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an, 710072, People's Republic of China.

出版信息

J Mol Model. 2025 Aug 30;31(9):260. doi: 10.1007/s00894-025-06489-3.

Abstract

CONTEXT

Understanding the microscopic mechanisms underlying the detonation behavior of energetic materials is crucial for the development of safer and more efficient explosives. In this work, we employ first-principles calculations to optimize the molecular geometries of eight energetic compounds and analyze their phonon characteristics, including the number of molecular vibration modes in the doorway region (j) and the frequency gap (∆w). A new parameter, the phonon energy transfer rate, is defined and found to exhibit a strong linear correlation with detonation velocity (R = 0.95). The proposed model is further validated using an additional set of seven energetic materials, including one newly synthesized compound, showing excellent agreement with experimental results. These results suggest that the phonon energy transfer rate plays a critical role in the detonation process. Unlike conventional approaches that rely on macroscopic parameters, this study introduces a microscopic method for predicting detonation velocity based on phonon behavior.

METHODS

All calculations are performed using the CASTEP code based on density functional theory (DFT), employing the Perdew-Burke-Ernzerhof (PBE) functional within the generalized gradient approximation (GGA) and Grimme's DFT-D dispersion correction. Norm-conserving pseudopotentials are used.

摘要

背景

了解含能材料爆轰行为背后的微观机制对于开发更安全、更高效的炸药至关重要。在这项工作中,我们采用第一性原理计算来优化八种含能化合物的分子几何结构,并分析它们的声子特性,包括门道区域的分子振动模式数量(j)和频率间隙(∆w)。定义了一个新参数——声子能量转移率,发现它与爆速呈现出很强的线性相关性(R = 0.95)。使用另外一组七种含能材料(包括一种新合成的化合物)对所提出的模型进行了进一步验证,结果与实验结果高度吻合。这些结果表明,声子能量转移率在爆轰过程中起着关键作用。与依赖宏观参数的传统方法不同,本研究引入了一种基于声子行为预测爆速的微观方法。

方法

所有计算均使用基于密度泛函理论(DFT)的CASTEP代码进行,采用广义梯度近似(GGA)中的Perdew-Burke-Ernzerhof(PBE)泛函和Grimme的DFT-D色散校正。使用守恒规范赝势。

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