The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nature of the Active Sites for CO Reduction on Copper Nanoparticles; Suggestions for Optimizing Performance
Open accessAbstract
and CO to alcohol products. We report here multiscale simulations that simulate experimental synthesis conditions to predict the structure of a 10 nm Cu NP (158 555 atoms). To identify active sites, we first predict the CO binding at a large number of sites and select four exhibiting CO binding stronger than the (211) step surface. Then, we predict the formation energy of the *OCCOH intermediate as a descriptor for C-C coupling, identifying two active sites, both of which have an under-coordinated surface square site adjacent to a subsurface stacking fault. We then propose a periodic Cu surface (4 by 4 supercell) with a similar site that substantially decreases the formation energy of *OCCOH, by 0.14 eV.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces
Kuhl, K. P., Cave, E. R., Abram, D. N., & Jaramillo, T. F. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21234j · Cited by 3,160
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
Theoretical Considerations on the Electroreduction of CO to C 2 Species on Cu(100) Electrodes
Calle‐Vallejo, F., & Koper, M. T. M. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201301470 · Cited by 941
Probing the Active Surface Sites for CO Reduction on Oxide-Derived Copper Electrocatalysts
Verdaguer-Casadevall, A., Li, C. W., Johansson, T. P., Scott, S. B., McKeown, J. T., Kumar, M., Stephens, I. E. L., Kanan, M. W., & Chorkendorff, I. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b06227 · Cited by 645
Xiao, H., Cheng, T., & Goddard, W. A. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.6b06846 · Cited by 458
Self-citationCheng, T., Xiao, H., & Goddard, W. A. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b08534 · Cited by 453
Self-citation
Cited by
Advances and challenges in understanding the electrocatalytic conversion of carbon dioxide to fuels
Birdja, Y. Y., Pérez-Gallent, E., Figueiredo, M. C., Göttle, A. J., Calle-Vallejo, F., & Koper, M. T. M. (2019) · Nature Energy · doi:10.1038/s41560-019-0450-y · Cited by 2,747
Zheng, Y., Vasileff, A., Zhou, X., Jiao, Y., Jaroniec, M., & Qiao, S.-Z. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b02124 · Cited by 1,075
De Luna, P., Quintero-Bermudez, R., Dinh, C.-T., Ross, M. B., Bushuyev, O. S., Todorović, P., Regier, T., Kelley, S. O., Yang, P., & Sargent, E. H. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0018-9 · Cited by 1,046
The concept of active site in heterogeneous catalysis
Vogt, C., & Weckhuysen, B. M. (2022) · Nature Reviews Chemistry · doi:10.1038/s41570-021-00340-y · Cited by 851
Two-dimensional copper nanosheets for electrochemical reduction of carbon monoxide to acetate
Luc, W., Fu, X., Shi, J., Lv, J.-J., Jouny, M., Ko, B. H., Xu, Y., Tu, Q., Hu, X., Wu, J., et al. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0269-8 · Cited by 600
Metadata
- Authors
- Cheng, T., Xiao, H., & Goddard, W. A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-08-18
- Volume
- 139
- Issue
- 34
- Pages
- 11642-11645
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2749320269
- Cited by
- 181
- References
- 7
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nature of the Active Sites for CO Reduction on Copper Nanoparticles; Suggestions for Optimizing Performance. https://app.cochat.ai/papers/10.1021/jacs.7b03300
- The paper
- Cheng, T., Xiao, H., & Goddard, W. A. (2017). Nature of the Active Sites for CO Reduction on Copper Nanoparticles; Suggestions for Optimizing Performance. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b03300
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.