The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Constructing FeN4/graphitic nitrogen atomic interface for high-efficiency electrochemical CO2 reduction over a broad potential window
Open accessAbstract
Summary Atomically dispersed Fe–N–C catalyst has shown great performance in the CO2-to-CO conversion, yet the high CO selectivity is achieved only within a rather narrow potential range, which cannot well meet the requirements for the following CO dimerization or hydrogenation. Here, we developed a hydrogen-pyrolysis etching strategy to precisely manipulate the uncoordinated N dopants in the Fe–N–C catalyst. This strategy could preferentially eliminate pyridinic and pyrrolic N atoms while leaving graphitic N. The resulting catalyst gave a CO faradaic efficiency (FECO) above 90% over a broad window from −0.3 to −0.8 V (versus RHE) (in particular, FECO > 97% at −0.6 V). In situ ATR-SEIRAS and first-principle calculations further revealed that this strategy can not only suppress the parasitic H2 generation but also promote CO2 activation and protonation with the assistance of co-adsorbed H2O on the “atomic interface” of “FeN4/graphitic N.”
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
Electron-energy-loss spectra and the structural stability of nickel oxide: An LSDA+U study
Dudarev, S. L., Botton, G. A., Savrasov, S. Y., Humphreys, C. J., & Sutton, A. P. (1998) · Physical Review B · doi:10.1103/physrevb.57.1505 · Cited by 15,173
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Trends in the exchange current for hydrogen evolution
Nørskov, J. K., Bligaard, T., Logadottir, A., Kitchin, J. R., Chen, J. G., Pandelov, S., & Stimming, U. (2005) · Journal of The Electrochemical Society · doi:10.1149/1.1856988 · Cited by 6,121
Guo, D., Shibuya, R., Akiba, C., Saji, S., Kondo, T., & Nakamura, J. (2016) · Science · doi:10.1126/science.aad0832 · Cited by 4,230
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
Sheng, Z.-H., Shao, L., Chen, J.-J., Bao, W.-J., Wang, F.-B., & Xia, X.-H. (2011) · ACS Nano · doi:10.1021/nn103584t · Cited by 2,573
Single-Atom Catalysts: Synthetic Strategies and Electrochemical Applications
Chen, Y., Ji, S., Chen, C., Peng, Q., Wang, D., & Li, Y. (2018) · Joule · doi:10.1016/j.joule.2018.06.019 · Cited by 2,258
Self-citationHydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
Chen, Y., Ji, S., Wang, Y., Dong, J., Chen, W., Li, Z., Shen, R., Zheng, L., Zhuang, Z., Wang, D., et al. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201702473 · Cited by 1,988
Self-citation
Cited by
Electrochemical CO2 reduction in membrane-electrode assemblies
Ge, L., Rabiee, H., Li, M., Subramanian, S., Zheng, Y., Lee, J. H., Burdyny, T., & Wang, H. (2022) · Chem · doi:10.1016/j.chempr.2021.12.002 · Cited by 336
Metadata
- Authors
- Liu, C., Wu, Y., Sun, K., Fang, J., Huang, A., Pan, Y., Cheong, W.-C., Zhuang, Z., Zhuang, Z., Yuan, Q., Xin, H. L., Zhang, C., Zhang, J., Xiao, H., Chen, C., & Li, Y.
- Venue
- Chem
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 7
- Issue
- 5
- Pages
- 1297-1307
- ISSN
- 2451-9294 (ISSN-L)
- OpenAlex
- W3175723119
- Cited by
- 253
- References
- 46
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Constructing FeN4/graphitic nitrogen atomic interface for high-efficiency electrochemical CO2 reduction over a broad potential window. https://app.cochat.ai/papers/10.1016/j.chempr.2021.02.001
- The paper
- Liu, C., Wu, Y., Sun, K., Fang, J., Huang, A., Pan, Y., Cheong, W.-C., Zhuang, Z., Zhuang, Z., Yuan, Q., Xin, H. L., Zhang, C., Zhang, J., Xiao, H., Chen, C., & Li, Y. (2021). Constructing FeN4/graphitic nitrogen atomic interface for high-efficiency electrochemical CO2 reduction over a broad potential window. Chem. https://doi.org/10.1016/j.chempr.2021.02.001
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.
