Toward data- and mechanistic-driven volcano plots in electrocatalysis

IF 2.9 Q2 ELECTROCHEMISTRY
Kai S. Exner
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引用次数: 0

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.

Abstract Image

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
0.00%
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0
审稿时长
10 weeks
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