Issue 4, 2016

Theoretical insight on reactivity trends in CO2 electroreduction across transition metals

Abstract

Density Functional Theory (DFT) based models have been widely applied towards investigating and correlating the reaction mechanism of CO2 electroreduction (ER) to the activity and selectivity of potential electrocatalysts. Herein, we examine the implications of the theoretical choices used in DFT models that impact the stability of the reaction intermediates and the limiting potential (UL) of the activity/selectivity determining steps in CO2 ER across transition metals. Three theoretical choices are considered: (i) the type of exchange-correlation (XC) functional, (ii) the surface facet of the metal electrocatalyst, and (iii) the effect of solvation. The impact of the theoretical choices is also studied in the context of deriving scaling relationships for electrocatalyst screening. The analyses reveal that the choice of XC functional (PBE versus RPBE) can alter binding energies of CO2 ER intermediates by 0.30 eV, but have little impact on surface reaction energetics. Surface termination has greater impact, as OH*-terminated adsorbates bind weaker on average by 0.26 eV on stepped facets. Including explicit local solvation stabilizes the OH*-terminated adsorbates, preferentially decreasing the UL for CO* → COH* reduction. Trends in CO2 ER selectivity across metals predicted using scaling correlations differ signficantly from explicitly calculated values due to deviations from the linear binding energy correlations. The difference is most pronounced when the effect of explicit solvation is considered.

Graphical abstract: Theoretical insight on reactivity trends in CO2 electroreduction across transition metals

Supplementary files

Article information

Article type
Paper
Submitted
16 ⵖⵓⵛ 2015
Accepted
14 ⵛⵓⵜ 2015
First published
16 ⵛⵓⵜ 2015

Catal. Sci. Technol., 2016,6, 1042-1053

Theoretical insight on reactivity trends in CO2 electroreduction across transition metals

S. A. Akhade, W. Luo, X. Nie, A. Asthagiri and M. J. Janik, Catal. Sci. Technol., 2016, 6, 1042 DOI: 10.1039/C5CY01339A

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