Computational insights into surface dynamics, Mg clustering, and dendrite formation in magnesium batteries

被引:0
|
作者
Soto, Fernando A. [1 ]
机构
[1] Penn State Univ, Penn State Harrisburg, Middletown, PA 17057 USA
关键词
Magnesium batteries; Dendrite formation; Surface dynamics; Density functional theory; Born-Oppenheimer molecular dynamics; Solid-electrolyte interphase; Electrochemical interface; Mg-ion clustering; Computational materials science; Goldilocks morphology; METAL ANODES;
D O I
10.1016/j.commatsci.2025.113791
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study sheds light on the surface dynamics of a MgTFSI-Cl/DME-based electrolyte solution and a pristine Mg (0001) surface, employing density functional theory (DFT) simulations to characterize the surface area and isosurface of magnesium under varying temperature and salt concentration conditions. A primary focus is understanding how these surface dynamics and factors help us understand the precursor mechanisms and structures leading to dendrite formation in magnesium batteries. The simulations reveal that the combination of high salt concentration and temperature leads to excessive surface areas, deviating from the ideal 'Goldilocks morphology', and can cause the isosurface to shift away from the anode's surface. This displacement can create a concentration gradient conducive to Mg clustering, a precursor to dendrite formation. The simulations provide critical insights into the complex interplay between surface area, isosurface characteristics, and the operational parameters of magnesium anodes. The results underscore the importance of optimizing these factors to mitigate dendrite formation, offering valuable guidance for developing more efficient and safer magnesium-ion batteries (MiBs). This study enhances our understanding of the fundamental processes governing dendrite formation and proposes a novel approach to addressing one of the key challenges in advancing magnesium battery technology.
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页数:6
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