Molecular dynamic simulation study on the influence of heating rate on the thermal decomposition process of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB)
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引用次数: 0
Abstract
To clarify the effect of heating rate on the thermal decomposition process of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB), this study employs molecular dynamic simulations to investigate the thermal decomposition of TATB at heating rates of 20, 40, 60, and 80 K/ps. The initial temperature is uniformly set to 300 K, while the final temperature is set to 3000 K. Results indicate that within the temperature range of 300–3000 K, the thermal decomposition rate of TATB decreases with increasing heating rate, whereas the initial decomposition temperature of TATB increases, consistent with the experimental pattern. Within the studied temperature range, a lower heating rate results in a higher number of decomposition fragments, leading to more effective collision between active fragments, facilitating more effective collisions between active species, and leading to the formation of more stable products such as H₂O, CO₂, and N₂. Conversely, higher heating rates reduce the quantities of these stable products. This study enhances the understanding of TATB’s thermal decomposition mechanism, providing valuable insights for its safe handling and application.
The Gaussian09 software was used to calculate the BDEs of TATB molecules, while the MD simulation using the ReaxFF-lg force field was performed by the LAMMPS package. Visualization and postprocessing were conducted using the OVITO software, and a custom script was developed to analyze the reaction products and frequencies.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.