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Published April 11, 2019 | Supplemental Material
Journal Article Open

Initial Decomposition of HMX Energetic Material from Quantum Molecular Dynamics and the Molecular Structure Transition of β- to δ-HMX

Abstract

We demonstrate the use of quantum molecular dynamics to identify the β- to δ-molecular structure transition in bulk-phase HMX, which has been considered as the primary reason for the increased sensitivity in the thermal decomposition of HMX. Both physical and chemical changes accompany this transition, but no previous study has shown conclusively which specific change, or set of changes, is responsible. We find that the initial decomposition mechanism of HMX can explain this sensitivity issue. Our DFT simulations of the periodic system followed by detailed finite cluster calculations of the transition states find two distinct initial unimolecular reaction pathways in β-HMX that operate simultaneously. (1) For the HONO release reaction, β-HMX first transformed to an intermediate, in which one parallel N–NO_2 group transitions from chair to boat conformations with a low +1.2 kcal/mol barrier, followed by unimolecular HONO release (+42.8 kcal/mol barrier, rate-determining step). (2) For the NO_2 cleavage reaction, β-HMX first transforms to the δ-HMX structure in two steps, with low barriers of +1.9 and +7.6 kcal/mol for each step, followed by unimolecular NO_2 release (+31.3 kcal/mol barrier). Starting with δ-HMX, we find an initial unimolecular NO_2 cleavage and then an independent HONO release reaction with the barriers of +31.6 kcal/mol (NO_2 cleavage) and +38.9 kcal/mol (HONO release). We find that the constant proportional simulated initial structure transition temperature is 453 K, which is consistent with the experimental results (466 K).

Additional Information

© 2019 American Chemical Society. Received: February 5, 2019; Revised: March 22, 2019; Published: March 26, 2019. This research was supported and funded by ONR (N00014-12-1-0538 and N00014-16-1-2059). W.-Q.Z. and C.-C.Y. acknowledge the support from the Guangdong Innovation Research Team Project (grant no. 2017ZT07C062), Center for Computational Science and Engineering of Southern University of Science and Technology and the Shenzhen Pengcheng-Scholarship program. The authors declare no competing financial interest.

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