Elucidating the Proton Source for CO <sub>2</sub> Electro-Reduction on Cu(100) Using Many-Body Perturbation Theory

The protonation of CO is recognized as the rate-determining step in the generation of C1 products during the electrochemical CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) on Cu surfaces. However, the detailed mechanism and the precise proton source remain elusive. While density functional theory (DFT) calculations at the GGA level have been widely used, they struggle to accurately describe adsorbate-metal interactions and surface stability. Here, we employed the Random Phase Approximation (RPA), a method based on many-body perturbation theory, to overcome these limitations. We coupled the RPA framework with the linearized Poisson-Boltzmann equation to model solvation effects and a surface charging method to account for the influence of the electrochemical potential. Our study reveals that in neutral or alkaline electrolytes, adsorbed surface water acts as the proton source for *CO reduction to *COH over a broad potential range via the Grotthuss mechanism. At highly negative potentials, solvent water becomes the primary proton donor, with multiple competing mechanisms observed. In contrast, DFT-GGA functionals significantly underestimate the reaction barriers for *COH formation and consistently predict solvent water as the proton source across all potentials of interest. Additionally, RPA offers distinct insights into H<sub>2</sub>O adsorption and highlights the significant range of reducing potentials within which surface *OH can exist, which is crucial for accurate CO<sub>2</sub>RR modeling. These insights illustrate a pronounced divergence between RPA and DFT-GGA results. Our findings offer a fresh perspective on proton transfer in CO<sub>2</sub>RR and establish a framework for future theoretical studies on electrochemical processes.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-03-20
DOI
https://doi.org/10.1021/jacs.4c14108
Citations
15
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
5.45

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article

Elucidating the Proton Source for CO 2 Electro-Reduction on Cu(100) Using Many-Body Perturbation Theory

Philippe Sautet, Dongfang Cheng, Ziyang Wei
15 citations
Journal of the American Chemical Society
CO2 Reduction Techniques and Catalysts
5.45
article

Elucidating the Proton Source for CO 2 Electro-Reduction on Cu(100) Using Many-Body Perturbation Theory

Philippe Sautet, Dongfang Cheng, Ziyang Wei
article en
15 citations

Abstract

The protonation of CO is recognized as the rate-determining step in the generation of C1 products during the electrochemical CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) on Cu surfaces. However, the detailed mechanism and the precise proton source remain elusive. While density functional theory (DFT) calculations at the GGA level have been widely used, they struggle to accurately describe adsorbate-metal interactions and surface stability. Here, we employed the Random Phase Approximation (RPA), a method based on many-body perturbation theory, to overcome these limitations. We coupled the RPA framework with the linearized Poisson-Boltzmann equation to model solvation effects and a surface charging method to account for the influence of the electrochemical potential. Our study reveals that in neutral or alkaline electrolytes, adsorbed surface water acts as the proton source for *CO reduction to *COH over a broad potential range via the Grotthuss mechanism. At highly negative potentials, solvent water becomes the primary proton donor, with multiple competing mechanisms observed. In contrast, DFT-GGA functionals significantly underestimate the reaction barriers for *COH formation and consistently predict solvent water as the proton source across all potentials of interest. Additionally, RPA offers distinct insights into H<sub>2</sub>O adsorption and highlights the significant range of reducing potentials within which surface *OH can exist, which is crucial for accurate CO<sub>2</sub>RR modeling. These insights illustrate a pronounced divergence between RPA and DFT-GGA results. Our findings offer a fresh perspective on proton transfer in CO<sub>2</sub>RR and establish a framework for future theoretical studies on electrochemical processes.

Journal of the American Chemical SocietyVol. 147(13)
California NanoSystems Institute (US), University of California, Los Angeles (US), Princeton University (US), University of California System (US)
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Climate action
Openalex Percentile: Top 4%
CO2 Reduction Techniques and Catalysts
5.45
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