Xi Hong-Wei, Dev S Prabu, Lim Kok Hwa
Singapore Institute of Technology, 10 Dover Drive, Singapore, 138683, Singapore.
J Mol Model. 2025 Mar 17;31(4):120. doi: 10.1007/s00894-025-06288-w.
With the development of simulation technique and the rapid advances in computing power, modelling and simulation (M&S) began to demonstrate vast potential in predicting the properties of energetic material and helping to design potential energetic material. The prediction of energetic material density has evolved from evaluating molecular volume using Monte Carlo integration to the calculations of material density at the crystal scale: a technique, incorporating crystal packing and crystalline structure prediction through the first principles simulation, has demonstrated the ability to distinguish different polymorphs of energetic molecules and accurately predict their crystal structure and density. The atomization scheme together with high-level calculational models can predict most energetic materials with minimal reliance on reference systems and limits. In addition to its ability to predict detonation pressures and velocities of well-established classes of energetic materials based on the thermochemical code or empirical equations. M&S has proven effective in screening the potential of newly designed energetic materials. The application of M&S significantly enhances safety by reducing the number of hazardous experiments needed for material development. The ability to screen materials based on M&S predicted HOFs and detonation properties reduces experimental frequency, thereby decreasing both the risk of hazardous tests and overall development costs.
Gaussian, VASP, and EXPLO5™ were utilized. The optimization and QM density predictions for energetic molecules were performed at the level of DFT B3LYP using Gaussian 16. While the determination of crystal structure and crystal density was performed using VASP 6. Subsequently, the heat of formation calculation was performed using Gaussian 16 at the G2 and CBS-Q level. EXPLO5™ code enabled the calculation of detonation velocity and detonation pressure.
随着模拟技术的发展以及计算能力的迅速提升,建模与仿真(M&S)开始在预测含能材料性能及辅助设计潜在含能材料方面展现出巨大潜力。含能材料密度的预测已从使用蒙特卡罗积分评估分子体积发展到在晶体尺度计算材料密度:一种通过第一性原理模拟结合晶体堆积和晶体结构预测的技术,已证明能够区分含能分子的不同多晶型物,并准确预测其晶体结构和密度。原子化方案与高级计算模型相结合,能够在对参考体系和限制条件依赖最小的情况下预测大多数含能材料。除了能够基于热化学代码或经验方程预测成熟类别的含能材料的爆轰压力和速度外,M&S在筛选新设计含能材料的潜力方面也已证明是有效的。M&S的应用通过减少材料开发所需的危险实验数量,显著提高了安全性。基于M&S预测的生成热(HOF)和爆轰性能筛选材料的能力降低了实验频率,从而降低了危险测试的风险和总体开发成本。
使用了高斯(Gaussian)、维也纳从头算模拟程序(VASP)和EXPLO5™。含能分子的优化和量子力学(QM)密度预测在密度泛函理论(DFT)B3LYP水平上使用高斯16进行。而晶体结构和晶体密度的测定则使用VASP 6进行。随后,在G2和CBS-Q水平上使用高斯16进行生成热计算。EXPLO5™代码实现了爆轰速度和爆轰压力的计算。