Toward data- and mechanistic-driven volcano plots in electrocatalysis

IF 2.9 Q2 ELECTROCHEMISTRY Electrochemical science advances Pub Date : 2023-02-08 DOI:10.1002/elsa.202200014
Kai S. Exner
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Abstract

The present application note summarizes an advanced methodology that allows for deriving potential-dependent volcano curves for energy storage and conversion processes. The conventional approach relies on the combination of density functional theory calculations and scaling relations for a single mechanistic pathway as well as a discussion of electrocatalytic activity by means of the potential-determining step, determined at the equilibrium potential of the reaction. Herein, it is illustrated how several reaction mechanisms can be factored into the volcano curve and how the rate-determining step based on the descriptor Gmax(U) can be derived by a rigorous thermodynamic analysis of adsorption free energies fed by a data-inspired methodology.

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电催化中数据和机制驱动的火山图
本应用说明总结了一种先进的方法,可用于推导能量存储和转换过程的电位相关火山曲线。传统方法依赖于密度泛函理论计算和单一机理途径的比例关系,以及通过电位决定步骤(在反应平衡电位下确定)对电催化活性的讨论。本文说明了如何将多种反应机理纳入火山曲线,以及如何通过数据启发方法对吸附自由能进行严格的热力学分析,得出基于描述符 Gmax(U) 的速率决定步骤。
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CiteScore
3.80
自引率
0.00%
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0
审稿时长
10 weeks
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