Published December 2017 | Version Published + Supplemental Material
Journal Article Open

Theoretical Investigations of the Electrochemical Reduction of CO on Single Metal Atoms Embedded in Graphene

  • 1. ROR icon Stanford University
  • 2. ROR icon SLAC National Accelerator Laboratory
  • 3. ROR icon California Institute of Technology

Abstract

Single transition metal atoms embedded at single vacancies of graphene provide a unique paradigm for catalytic reactions. We present a density functional theory study of such systems for the electrochemical reduction of CO. Theoretical investigations of CO electrochemical reduction are particularly challenging in that electrochemical activation energies are a necessary descriptor of activity. We determined the electrochemical barriers for key proton–electron transfer steps using a state-of-the-art, fully explicit solvent model of the electrochemical interface. The accuracy of GGA-level functionals in describing these systems was also benchmarked against hybrid methods. We find the first proton transfer to form CHO from CO to be a critical step in C_1 product formation. On these single atom sites, the corresponding barrier scales more favorably with the CO binding energy than for 211 and 111 transition metal surfaces, in the direction of improved activity. Intermediates and transition states for the hydrogen evolution reaction were found to be less stable than those on transition metals, suggesting a higher selectivity for CO reduction. We present a rate volcano for the production of methane from CO. We identify promising candidates with high activity, stability, and selectivity for the reduction of CO. This work highlights the potential of these systems as improved electrocatalysts over pure transition metals for CO reduction.

Additional Information

© 2017 American Chemical Society. ACS AuthorChoice - This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes. Received: September 25, 2017; Published: December 18, 2017. This material is based upon work performed by the Joint Center for Artificial Photosynthesis, a DOE Energy Innovation Hub, supported through the Office of Science of the U.S. Department of Energy under Award Number DE-SC0004993. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. C.K. acknowledges support from the NSF Graduate Research Fellowship program under Grant No. DGE-114747 and from the Morgridge Family Stanford Graduate Fellowship. L.D.C. acknowledges financial support from the Natural Sciences and Engineering Research Council of Canada for the CGS-D3 fellowship. The authors declare no competing financial interest.

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Supplemental Material - oc7b00442_si_001.pdf

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Additional details

Identifiers

PMCID
PMC5746853
Eprint ID
83966
Resolver ID
CaltechAUTHORS:20171219-112016737

Funding

Department of Energy (DOE)
DE-SC0004993
Department of Energy (DOE)
DE-AC02-05CH11231
NSF Graduate Research Fellowship
DGE-114747
Stanford Graduate Fellowship
Natural Sciences and Engineering Research Council of Canada (NSERC)
CGS-D3

Dates

Created
2017-12-19
Created from EPrint's datestamp field
Updated
2022-03-18
Created from EPrint's last_modified field

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