氧化还原
化学
电化学
水溶液
反离子
无机化学
电子转移
流动电池
电解质
溶剂化
循环伏安法
溶剂
有机化学
离子
电极
物理化学
作者
Kritika S. Sharma,Shrihari Sankarasubramanian,Javier Parrondo,Vijay Ramani
标识
DOI:10.1073/pnas.2105889118
摘要
Significance The development of cost-effective batteries for long-duration grid scale energy storage will be accelerated using frameworks to rapidly screen and select battery components. Herein, we show that the solvent reorganization energy calculated from the Born equation (with reference to an electrolyte’s composition) is predictive of the electrolytes’ device level performance. This descriptor was found to correlate with key transport and kinetic properties over a range of electrolyte compositions and pH values, succinctly capturing the multicomponent interactions between the electrolyte salts and solvent. This enables the initial high-throughput screening of electrolyte candidates with minimal experimentation. Applied to aqueous redox flow batteries employing organic redox active species, we predict high-performance electrolyte compositions, enabling significantly enhanced device performance.
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