The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Elucidating the Electrocatalytic CO2 Reduction Reaction over a Model Single‐Atom Nickel Catalyst
Abstract
Designing effective electrocatalysts for the carbon dioxide reduction reaction (CO 2 RR) is an appealing approach to tackling the challenges posed by rising CO 2 levels and realizing a closed carbon cycle. However, fundamental understanding of the complicated CO 2 RR mechanism in CO 2 electrocatalysis is still lacking because model systems are limited. We have designed a model nickel single‐atom catalyst (Ni SAC) with a uniform structure and well‐defined Ni‐N 4 moiety on a conductive carbon support with which to explore the electrochemical CO 2 RR. Operando X‐ray absorption near‐edge structure spectroscopy, Raman spectroscopy, and near‐ambient X‐ray photoelectron spectroscopy, revealed that Ni+ in the Ni SAC was highly active for CO 2 activation, and functioned as an authentic catalytically active site for the CO 2 RR. Furthermore, through combination with a kinetics study, the rate‐determining step of the CO 2 RR was determined to be *CO 2−+H+→*COOH. This study tackles the four challenges faced by the CO 2 RR; namely, activity, selectivity, stability, and dynamics.
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
Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
Yang, H. B., Hung, S.-F., Liu, S., Yuan, K., Miao, S., Zhang, L., Huang, X., Wang, H.-Y., Cai, W., Chen, R., et al. (2018) · Nature Energy · doi:10.1038/s41560-017-0078-8 · Cited by 2,239
Self-citationPartially oxidized atomic cobalt layers for carbon dioxide electroreduction to liquid fuel
Gao, S., Lin, Y., Jiao, X., Sun, Y., Luo, Q., Zhang, W., Li, D., Yang, J., & Xie, Y. (2016) · Nature · doi:10.1038/nature16455 · Cited by 1,865
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
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Dopant-induced electron localization drives CO2 reduction to C2 hydrocarbons
Zhou, Y., Che, F., Liu, M., Zou, C., Liang, Z., De Luna, P., Yuan, H., Li, J., Wang, Z., Xie, H., et al. (2018) · Nature Chemistry · doi:10.1038/s41557-018-0092-x · Cited by 1,171
Large-Scale and Highly Selective CO2 Electrocatalytic Reduction on Nickel Single-Atom Catalyst
Zheng, T., Jiang, K., Ta, N., Hu, Y., Zeng, J., Liu, J., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.10.015 · Cited by 887
Xia, C., Zhu, P., Jiang, Q., Pan, Y., Liang, W., Stavitski, E., Alshareef, H. N., & Wang, H. (2019) · Nature Energy · doi:10.1038/s41560-019-0451-x · Cited by 782
Cited by
Zhao, X., & Liu, Y. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.9b13872 · Cited by 319
Wu, Y., Li, Y., Gao, J., & Zhang, Q. (2021) · SusMat · doi:10.1002/sus2.3 · Cited by 319
Self-citation
Metadata
- Authors
- Liu, S., Yang, H. B., Hung, S., Ding, J., Cai, W., Liu, L., Gao, J., Li, X., Ren, X., Kuang, Z., Huang, Y., Zhang, T., & Liu, B.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2019-12-10
- Volume
- 59
- Issue
- 2
- Pages
- 798-803
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2994454543
- Cited by
- 471
- References
- 7
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- closed
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: Elucidating the Electrocatalytic CO2 Reduction Reaction over a Model Single‐Atom Nickel Catalyst. https://app.cochat.ai/papers/10.1002/anie.201911995
- The paper
- Liu, S., Yang, H. B., Hung, S., Ding, J., Cai, W., Liu, L., Gao, J., Li, X., Ren, X., Kuang, Z., Huang, Y., Zhang, T., & Liu, B. (2020). Elucidating the Electrocatalytic CO2 Reduction Reaction over a Model Single‐Atom Nickel Catalyst. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201911995
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.
