溶剂化
材料科学
化学
纳米技术
电池(电)
储能
锂离子电池的纳米结构
热力学
化学物理
化学工程
作者
Yijiang Bao,Jie Zhu,Fu Li,Yuming Chai,Yabin Li,Qingbin Sun,Yì Wáng,S Z Wang,Caijuan Shi,Menglan Li,Deyuan Wang,Liang Zhao,Shiyang Wang,Linya Lü,Mengchen Zhang,Jie Zhou,Chen Li,Qi Li,Dongsheng Xu
标识
DOI:10.1021/acsenergylett.6c01298
摘要
Developing high-performance next-generation energy storage systems is crucial for clean energy technologies. Mg-metal batteries are promising owing to their high specific capacity, high safety, and cost-effectiveness. However, the high charge density of Mg 2+ triggers strong Mg 2+ –ligand coordination, resulting in sluggish desolvation kinetics and poor rate performance. Here, we propose a dipole-gated solvation strategy and employ artificial-intelligence-driven clustering screening to construct solvation structures with large dipole moments. The weakly coordinating ligands preferentially approach the electrode via electric field–dipole interaction, enabling a dipole-gated effect that accelerates desolvation. This rapid desolvation also endows an ultrathin and uniform solid–electrolyte interphase, facilitating fast interfacial Mg 2+ transport. Consequently, the Mg-metal coin cell achieves rate capability up to 10C, while the Mg-metal pouch cell sustains stable cycling for over 400 cycles at 4C. This work advances multivalent batteries toward practical energy storage systems.
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