Abstract
Magnesium hydride (MgH2) is a promising energetic additive for solid propellants, yet the atomic-scale coupling between its rapid dehydrogenation and subsequent oxidation remains poorly understood. In this study, we developed a high-fidelity neural network potential (NNP) with ab initio accuracy to reveal the distinct combustion mechanisms of MgH2 versus pure Mg in oxygen environments. Molecular dynamics simulations uncover a unique “Coupled Dehydrogenation-Oxidation” (CDO) mechanism governing MgH2 combustion. Unlike the diffusion-limited shrinking-core oxidation of Mg, MgH2 acts as a “self-activating” fuel. We identify a critical “dehydrogenation-induced shattering” process, where the internal pressure from H2 release mechanically ruptures the MgO passivation shell, creating interconnected channels. This structural damage induces a dominant “channeling effect”, significantly enhancing the inward diffusion of O2 and enabling volumetric oxidation. Furthermore, the interfacial formation of H2O generates lattice defects that facilitate oxygen transport, creating a reaction-transport feedback loop that accelerates global kinetics. These findings provide a rigorous theoretical basis for the superior ignition sensitivity of MgH2 and offer atomistic guidance for designing high-performance energetic formulations.
| Original language | English |
|---|---|
| Article number | 167468 |
| Journal | Applied Surface Science |
| Volume | 745 |
| DOIs | |
| Publication status | Published - 1 Nov 2026 |
| Externally published | Yes |
Keywords
- Combustion
- Magnesium hydride
- Molecular dynamics
- Neural network potential
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