The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Synergistic Effect of Atomically Dispersed Ni–Zn Pair Sites for Enhanced CO2 Electroreduction
Abstract
Dual‐atom catalysts have the potential to outperform the well‐established single‐atom catalysts for the electrochemical conversion of CO 2. However, the lack of understanding regarding the mechanism of this enhanced catalytic process prevents the rational design of high‐performance catalysts. Herein, an obvious synergistic effect in atomically dispersed Ni–Zn bimetal sites is observed. In situ characterization combined with density functional theory (DFT) calculations reveals that heteronuclear coordination modifies the d‐states of the metal atom, narrowing the gap between the d‐band centre (ε d) of the Ni (3d) orbitals and the Fermi energy level (EF) to strengthen the electronic interaction at the reaction interface, resulting in a lower free energy barrier (Δ G) in the thermodynamic pathway and a reduced activation energy (Ea) as well as fortified metal–C bonding in the kinetic pathway. Consequently, a CO faradaic efficiency of >90% is obtained across a broad potential window from −0.5 to −1.0 V (vs RHE), reaching a maximum of 99% at −0.8 V, superior to that of the Ni/Zn single‐metal sites.
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
A fast and robust algorithm for Bader decomposition of charge density
Henkelman, G., Arnaldsson, A., & Jónsson, H. (2006) · Computational Materials Science · doi:10.1016/j.commatsci.2005.04.010 · Cited by 10,723
What would it take for renewably powered electrosynthesis to displace petrochemical processes?
De Luna, P., Hahn, C., Higgins, D., Jaffer, S. A., Jaramillo, T. F., & Sargent, E. H. (2019) · Science · doi:10.1126/science.aav3506 · Cited by 3,052
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
The technological and economic prospects for CO2 utilization and removal
Hepburn, C., Adlen, E., Beddington, J., Carter, E. A., Fuss, S., Mac Dowell, N., Minx, J. C., Smith, P., & Williams, C. K. (2019) · Nature · doi:10.1038/s41586-019-1681-6 · Cited by 2,523
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
CO 2 electrolysis to multicarbon products at activities greater than 1 A cm −2
García de Arquer, F. P., Dinh, C.-T., Ozden, A., Wicks, J., McCallum, C., Kirmani, A. R., Nam, D.-H., Gabardo, C., Seifitokaldani, A., Wang, X., et al. (2020) · Science · doi:10.1126/science.aay4217 · Cited by 1,517
Self-citationJiang, K., Siahrostami, S., Akey, A. J., Li, Y., Lu, Z., Lattimer, J., Hu, Y., Stokes, C., Gangishetty, M., Chen, G., et al. (2017) · Chem · doi:10.1016/j.chempr.2017.09.014 · Cited by 406
Self-citation
Cited by
Descriptors for the Evaluation of Electrocatalytic Reactions: d‐Band Theory and Beyond
Jiao, S., Fu, X., & Huang, H. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202107651 · Cited by 719
Delmo, E. P., Wang, Y., Song, Y., Zhu, S., Zhang, H., Xu, H., Li, T., Jang, J., Kwon, Y., Wang, Y., et al. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.3c08927 · Cited by 336
Single‐atom catalysis for carbon neutrality
Wang, L., Wang, D., & Li, Y. (2022) · Carbon Energy · doi:10.1002/cey2.194 · Cited by 293
Self-citationHuang, B., Wu, Z., Wang, X., Song, X., Zhou, H., Zhang, H., Zhou, P., Liu, W., Xiong, Z., & Lai, B. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c05509 · Cited by 281
Long‐Range Interactions in Diatomic Catalysts Boosting Electrocatalysis
Li, W., Yang, J., & Wang, D. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202213318 · Cited by 270
Metadata
- Authors
- Li, Y., Wei, B., Zhu, M., Chen, J., Jiang, Q., Yang, B., Hou, Y., Lei, L., Li, Z., Zhang, R., & Lu, Y.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-08-31
- Volume
- 33
- Issue
- 41
- Pages
- e2102212-e2102212
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3196721267
- Cited by
- 306
- References
- 7
- FWCI
- 9.60
- 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: Synergistic Effect of Atomically Dispersed Ni–Zn Pair Sites for Enhanced CO2 Electroreduction. https://app.cochat.ai/papers/10.1002/adma.202102212
- The paper
- Li, Y., Wei, B., Zhu, M., Chen, J., Jiang, Q., Yang, B., Hou, Y., Lei, L., Li, Z., Zhang, R., & Lu, Y. (2021). Synergistic Effect of Atomically Dispersed Ni–Zn Pair Sites for Enhanced CO2 Electroreduction. Advanced Materials. https://doi.org/10.1002/adma.202102212
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.