电解质
材料科学
成核
枝晶(数学)
化学工程
水溶液
储能
电池(电)
纳米技术
电化学
双功能
锌
氢气储存
无机化学
分子
电流密度
聚合物
电流(流体)
氢
胶体
离子
吸附
焊剂(冶金)
分解水
电化学电位
作者
Lichao Fu,Mingming Song,Mingyuan Gu,Dapeng Liu,Kaihua Zhang,Xintao Zuo,Qiyao Zhang,Xilan Feng,Zhicheng Ye,Ying Jiang,Yu Zhang
摘要
ABSTRACT Despite their high theoretical energy density (1086 Wh kg −1 ) and environmental compatibility, aqueous Zn‐air flow batteries suffer from critical performance limitations at high current densities, including intensified concentration polarization, uncontrolled Zn dendrite growth, and hydrogen evolution reaction (HER) and corrosion, primarily driven by active water molecules and inadequate Zn 2+ regulation in conventional electrolytes. Here we report a Bayesian optimization‐guided electrolyte design employing alginic acid (AA) as a bifunctional additive to regulate both interfacial and bulk electrolyte chemistry. Under alkaline conditions, AA molecules coordinate with Zn 2+ and further dynamically self‐assemble, constructing reversible alginate‐Zn 2+ colloidal reservoirs instead of irreversible ZnO accumulation. Meanwhile, AA preferentially adsorbs on the Zn surface, modulating local ion flux and nucleation behavior to promote uniform Zn stripping/plating and mitigate dendrite growth, corrosion, and hydrogen evolution. This strategy achieves 2400 h of stable cycling at 20 mA cm −2 , significantly outperforming conventional systems. More broadly, this work demonstrates how data‐driven electrolyte optimization combined with bio‐derived polymer additives can reshape Zn 2+ storage chemistry and mitigate the intrinsic current density‐stability trade‐off in Zn‐air batteries.
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