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Predicting catalytic activity in hydrogen evolution reaction

Frederik C. Østergaard, Alexander Bagger, Jan Rossmeisl

2022Current Opinion in Electrochemistry44 citationsDOIOpen Access PDF

Abstract

Hydrogen Evolution Reaction (HER) is a prototype simple catalytical reaction with only a few steps and species involved, nevertheless, several models have been attempted for predicting catalyst activity. This study seeks to use a data-first approach by fitting hydrogen and hydroxide adsorption energies , ΔE H and ΔE OH , as well as work functions obtained using DFT to experimental data and correlating the outcome models with possible mechanisms for HER in acidic and alkaline conditions. Statistical proof is given for the importance of the work function as a descriptor in both acidic and alkaline, explaining the overestimation of Cu activity by ΔE H volcano models and predicting its overpotential required for a 1 mA cm -2 current density correctly within 0.1 eV. An oxophobic HER pathway is identified in alkaline conditions.

Topics & Concepts

CatalysisChemistryOrganic chemistryElectrocatalysts for Energy ConversionMetalloenzymes and iron-sulfur proteinsMachine Learning in Materials Science
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