4.8 Article

Molecular Insight into Microstructural and Dynamical Heterogeneities in Magnesium Ionic Liquid Electrolytes

期刊

JOURNAL OF PHYSICAL CHEMISTRY LETTERS
卷 13, 期 1, 页码 105-111

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpclett.1c03605

关键词

-

资金

  1. National Natural Science Foundation of China [22102090, 21773141]
  2. Natural Science Foundation of Shandong Province [ZR2019ZD45]
  3. Natural Science Foundation of Hainan Province [2019RC166]
  4. Helmholtz Association

向作者/读者索取更多资源

Ionic liquids show promise as designer solvents for multivalent electrolytes, with the ability to modulate solvate species interactions. Research on the molecular mechanisms and impact of ion clusters on electrolyte properties is lacking compared to ion pairs. Studies indicate that ion clusters can effectively suppress ion agglomeration in Mg electrolytes, leading to improved Coulombic efficiency for the reversible Mg deposition/stripping process. This highlights the importance of microstructural and dynamical heterogeneities in the rational design of enhanced multivalent electrolytes.
Ionic liquids (ILs) are promising designer solvents for multivalent electrolytes, enabling the modulation of molecular-level interactions of solvate species. The molecular mechanism of multivalent-ion clustering and its impact on electrolytes properties is far less studied than that of ion pairs. Herein, we explore the effect of ion clusters on the transport and electrochemical behavior of IL-based electrolytes for Mg batteries. Simulation and small-angle X-ray scattering results indicate that ILs with higher denticity effectively suppress ion agglomeration and parasitic reactions of the Mg electrolytes. Although ion clustering reduces the diffusivity of Mg2+, the Coulombic efficiency for the reversible Mg deposition/stripping process is improved, highlighting the importance of microstructural and dynamical heterogeneities in the rational design of enhanced multivalent electrolytes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据