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Overlayer Au-on-W Near-Surface Alloy for the Selective Electrochemical Reduction of CO_2 to Methanol: Empirical (DEMS) Corroboration of a Computational (DFT) Prediction

Javier, Alnald and Baricuatro, Jack H. and Kim, Youn-Geun and Soriaga, Manuel P. (2015) Overlayer Au-on-W Near-Surface Alloy for the Selective Electrochemical Reduction of CO_2 to Methanol: Empirical (DEMS) Corroboration of a Computational (DFT) Prediction. Electrocatalysis, 6 (6). pp. 493-497. ISSN 1868-2529. https://resolver.caltech.edu/CaltechAUTHORS:20150831-084011671

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Abstract

It is now widely known from extensive studies [1–3] over the past few decades on the heterogeneous electrochemical reduction of carbon dioxide in aqueous solutions that, across the vast landscape of CO_2-reduction electrocatalysts, copper stands alone as the single metal that can deliver a remarkable variety of products; unpredictably, however, the product distribution does not include methanol [1–5]. The overall energy conversion efficiency of Cu, defined [6] as the ratio of the free energy of the products generated and that consumed in the electrochemical reduction, is only 30 to 40 %, and the overpotential of Cu at benchmark current densities remains unacceptably large, ca. −1.4 V [1, 6]. The diversity of the product distribution also becomes a major hurdle if only one product is coveted. The desire for catalysts that can perform better than Cu, especially in the generation of methanol, a liquid transportation fuel, and feedstock for direct fuel cells, is thus understandable.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1007/s12678-015-0276-8DOIArticle
http://link.springer.com/article/10.1007%2Fs12678-015-0276-8PublisherArticle
http://rdcu.be/ttbNPublisherFree ReadCube access
ORCID:
AuthorORCID
Javier, Alnald0000-0002-0306-5462
Kim, Youn-Geun0000-0002-5936-6520
Soriaga, Manuel P.0000-0002-0077-6226
Additional Information:© 2015 Springer Science+Business Media New York. First online: 27 August 2015. 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 No. DE-SC0004993.
Group:JCAP
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-SC0004993
Issue or Number:6
Record Number:CaltechAUTHORS:20150831-084011671
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150831-084011671
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:59977
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:31 Aug 2015 22:19
Last Modified:09 Mar 2020 13:18

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