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arXiv · 2502.10756

Understanding Magnesium Dissolution through Machine Learn-ing Molecular Dynamics

Zhoulin Liu·Jianchun Sha·Guang-Ling Song·Ziliang Wang·Yinghe Zhang
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Abstract

Magnesium alloys have become increasingly important for various potential industrial applications, especially in energy storage, due to their outstanding properties. However, a clear under-standing of the dissolution mechanism of magnesium in the most common aqueous environments re-mains a critical challenge, hindering the broader application of magnesium alloys. To address pending key controversies in magnesium alloys research, the atomic-scale hydrogen evolution process and dis-solution mechanism of magnesium were investigated by combining machine learning molecular dy-namics with density functional theory. These controversies include the presence of magnesium reaction intermediates, the formation of uni-positive Mg+, the specific reaction steps involved in hydrogen evo-lution and magnesium dissolution, and the generation and growth mechanisms of the surface films. The results indicate that the intermediate species in the magnesium dissolution process is solid-phase MgOH, which exhibits an MgO-like structure. The magnesium in MgOH is identified as the widely recognized uni-positive Mg+. The intermediate film is formed, consisting primarily of the MgOH phase with a small amount of MgO. This film grows inward by extending into the magnesium substrate. Un-der sufficient water availability, the film undergoes further oxidation to form Mg(OH)2. These findings highlight the critical role of the MgOH phase in the magnesium dissolution process, leading to the pro-posal of a dissolution model based on MgOH/MgO solid phases as intermediates. These insights deep-en the understanding of magnesium dissolution, pave the way for the development of more effective anti-corrosion strategies for magnesium alloys, and may also advance the utilization of magnesium in energy storage applications.

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Zhoulin Liu, Jianchun Sha, Guang-Ling Song, Ziliang Wang, Yinghe Zhang. 2025-02-15. Understanding Magnesium Dissolution through Machine Learn-ing Molecular Dynamics. https://arxiv.org/abs/2502.10756

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