溶剂化
分子
水溶液
化学
电化学
电解质
计算化学
锂(药物)
氢键
隐溶剂化
拓扑(电路)
溶剂化壳
超分子化学
分子动力学
量子化学
化学物理
胺气处理
Atom(片上系统)
密度泛函理论
化学稳定性
有机分子
无机化学
电池(电)
组合化学
离子液体
量子化学
离解(化学)
离子
作者
Tairan Wang,Huilin Cui,Bochun Liang,Zhaodong Huang,Xinyao Ma,Xiaohong Zhu,Chunyi Zhi,Jun Fan
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-12-19
卷期号:20 (1): 338-348
标识
DOI:10.1021/acsnano.5c12595
摘要
Aqueous lithium-ion batteries (LIBs) have gained attention due to their superior power and safety performance compared with conventional organic electrolyte-based LIBs. However, the battery reversibility of pure water electrolytes is limited. Modifying the Li + solvation structure using organic additives holds significance to optimize the overall performance, leading to changes in ion deposition, the formation of a favorable solid–electrolyte interphase, and the electrochemical stability window. The first step toward such a modification is to identify the preferential lithium solvation of additive molecules. In this study, molecular dynamics simulations combining the graph neural networks technique were used to quantify the preferential solvation of small organic molecules to replace water molecules in the Li + solvation shells. The analysis of millions of small-molecule additives reveals that those containing nitrogen-containing functional groups, particularly amino groups, effectively reduce the water coordination number of Li + (WCNLi). Introducing oxygen-containing groups to nitrile/amine-containing molecules enhances this effect. Quantum chemistry calculations show that oxygen–nitrogen synergy increases molecular polarity, further lowering WCNLi. Further comprehensive interpretable analysis reveals two principles for an additive’s ability to reduce WCNLi. The first is the atom group such as carbonyl and amino with strong binding affinity with Li + that direct coordinate Li +; the second is the atom group such as amine and hydroxyl acting as hydrogen bond donors to engage the surrounding water network, which indirectly weakens the Li + –water interaction. This study provides significant insights into additive molecule screening and design for aqueous systems.
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