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Mechanistic insights into electrochemical reduction of CO2 over Ag using density functional theory and transport models

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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211 Dimensions

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436 Mendeley
Title
Mechanistic insights into electrochemical reduction of CO2 over Ag using density functional theory and transport models
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2017
DOI 10.1073/pnas.1713164114
Pubmed ID
Authors

Meenesh R. Singh, Jason D. Goodpaster, Adam Z. Weber, Martin Head-Gordon, Alexis T. Bell

Abstract

Electrochemical reduction of CO2 using renewable sources of electrical energy holds promise for converting CO2 to fuels and chemicals. Since this process is complex and involves a large number of species and physical phenomena, a comprehensive understanding of the factors controlling product distribution is required. While the most plausible reaction pathway is usually identified from quantum-chemical calculation of the lowest free-energy pathway, this approach can be misleading when coverages of adsorbed species determined for alternative mechanism differ significantly, since elementary reaction rates depend on the product of the rate coefficient and the coverage of species involved in the reaction. Moreover, cathode polarization can influence the kinetics of CO2 reduction. Here, we present a multiscale framework for ab initio simulation of the electrochemical reduction of CO2 over an Ag(110) surface. A continuum model for species transport is combined with a microkinetic model for the cathode reaction dynamics. Free energies of activation for all elementary reactions are determined from density functional theory calculations. Using this approach, three alternative mechanisms for CO2 reduction were examined. The rate-limiting step in each mechanism is **COOH formation at higher negative potentials. However, only via the multiscale simulation was it possible to identify the mechanism that leads to a dependence of the rate of CO formation on the partial pressure of CO2 that is consistent with experiments. Simulations based on this mechanism also describe the dependence of the H2 and CO current densities on cathode voltage that are in strikingly good agreement with experimental observation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 436 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 436 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 117 27%
Researcher 51 12%
Student > Master 47 11%
Student > Bachelor 37 8%
Student > Doctoral Student 31 7%
Other 55 13%
Unknown 98 22%
Readers by discipline Count As %
Chemistry 112 26%
Chemical Engineering 88 20%
Engineering 46 11%
Materials Science 30 7%
Energy 6 1%
Other 19 4%
Unknown 135 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2017.
All research outputs
#743,166
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#12,446
of 101,438 outputs
Outputs of similar age
#15,878
of 327,683 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#247
of 975 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 975 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.