Predicting the thermal decomposition temperature of energetic materials from a simple model

Area of Science:

• Materials Science
• Computational Chemistry
• Solid State Physics

Background:

• Thermal sensitivity is a critical challenge in developing heat-resistant energetic materials.
• Predicting this sensitivity accurately requires advanced theoretical approaches.

Purpose of the Study:

• To establish a reliable theoretical model for predicting the thermal sensitivity of energetic materials.
• To introduce a new empirical parameter, Ψ, correlating with thermal decomposition temperature.

Main Methods:

• Utilizing first-principles calculations with the Cambridge Serial Total Energy Package (CASTEP) module.
• Employing Perdew-Burke-Ernzerhof (PBE) functionals within the Generalized Gradient Approximation (GGA) framework.
• Incorporating Grimme dispersion correction for enhanced accuracy.

Main Results:

• A novel theoretical model was developed, integrating band gap, density of states, and Young's modulus to derive the parameter Ψ.
• A strong quantitative correlation was observed between the calculated Ψ values and experimental thermal decomposition temperatures for 10 energetic materials.
• Higher Ψ values were consistently linked to increased thermal decomposition temperatures, indicating greater material stability.

Conclusions:

• The developed theoretical model and the parameter Ψ offer a reliable method for predicting the thermal sensitivity of energetic materials.
• The findings suggest that the parameter Ψ can serve as an effective predictor of thermal stability in energetic material design.
• This research advances the understanding and prediction of thermal behavior in energetic materials, aiding in the development of safer and more effective compounds.