The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Conductive CuCo‐Based Bimetal Organic Framework for Efficient Hydrogen Evolution
Abstract
Metal–organic frameworks (MOFs) with intrinsically porous structures and well‐dispersed metal sites are promising candidates for electrocatalysis; however, the catalytic efficiencies of most MOFs are significantly limited by their impertinent adsorption/desorption energy of intermediates formed during electrocatalysis and very low electrical conductivity. Herein, Co is introduced into conductive Cu‐catecholate (Cu‐CAT) nanorod arrays directly grown on a flexible carbon cloth for hydrogen evolution reaction (HER). Electrochemical results show that the Co‐incorporated Cu‐CAT nanorod arrays only need 52 and 143 mV overpotentials to drive a current density of 10 mA cm−2 in alkaline and neutral media for HER, respectively, much lower than most of the reported non‐noble metal‐based electrocatalysts and comparable to the benchmark Pt/C electrocatalyst. Density functional theory calculations show that the introduction of Co can optimize the adsorption energy of hydrogen (Δ GH*) of Cu sites, almost close to that of Pt (111). Furthermore, the adsorption energy of water () of Co sites in the CuCo‐CAT is significantly lower than that of Cu sites upon coupling Cu with Co, effectively accelerating the Volmer step in the HER process. The findings, synergistic effect of bimetals, open a new avenue for the rational design of highly efficient MOF‐based electrocatalysts.
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
Opportunities and challenges for a sustainable energy future
Chu, S., & Majumdar, A. (2012) · Nature · doi:10.1038/nature11475 · Cited by 12,550
Benchmarking Heterogeneous Electrocatalysts for the Oxygen Evolution Reaction
McCrory, C. C. L., Jung, S., Peters, J. C., & Jaramillo, T. F. (2013) · Journal of the American Chemical Society · doi:10.1021/ja407115p · Cited by 7,026
Shinagawa, T., Garcia-Esparza, A. T., & Takanabe, K. (2015) · Scientific Reports · doi:10.1038/srep13801 · Cited by 3,287
Wu, H. B., Xia, B. Y., Yu, L., Yu, X.-Y., & Lou, X. W. (2015) · Nature Communications · doi:10.1038/ncomms7512 · Cited by 1,434
High Electrocatalytic Hydrogen Evolution Activity of an Anomalous Ruthenium Catalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Jaroniec, M., & Qiao, S.-Z. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b11291 · Cited by 1,110
Self-citationYan, H., Xie, Y., Wu, A., Cai, Z., Wang, L., Tian, C., Zhang, X., & Fu, H. (2019) · Advanced Materials · doi:10.1002/adma.201901174 · Cited by 640
Self-citationCoP‐Doped MOF‐Based Electrocatalyst for pH‐Universal Hydrogen Evolution Reaction
Liu, T., Li, P., Yao, N., Cheng, G., Chen, S., Luo, W., & Yin, Y. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201901409 · Cited by 606
Cited by
Recent progress in metal–organic frameworks (MOFs) for electrocatalysis
Li, C., Zhang, H., Liu, M., Lang, F.-F., Pang, J., & Bu, X.-H. (2023) · Industrial Chemistry & Materials · doi:10.1039/d2im00063f · Cited by 339
Lin, L., Zhang, C., Liang, C., Zhang, H., Wang, Z., Wang, P., Zheng, Z., Cheng, H., Xing, D., Dai, Y., et al. (2024) · Advanced Materials · doi:10.1002/adma.202402388 · Cited by 77
Wang, L., Peng, C., Lin, H., & Zhao, B. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c02017 · Cited by 51
Metadata
- Authors
- Geng, B., Yan, F., Zhang, X., He, Y., Zhu, C., Chou, S., Zhang, X., & Chen, Y.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-10-08
- Volume
- 33
- Issue
- 49
- Pages
- e2106781-e2106781
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3203515286
- Cited by
- 250
- References
- 7
- FWCI
- 7.70
- 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: Conductive CuCo‐Based Bimetal Organic Framework for Efficient Hydrogen Evolution. https://app.cochat.ai/papers/10.1002/adma.202106781
- The paper
- Geng, B., Yan, F., Zhang, X., He, Y., Zhu, C., Chou, S., Zhang, X., & Chen, Y. (2021). Conductive CuCo‐Based Bimetal Organic Framework for Efficient Hydrogen Evolution. Advanced Materials. https://doi.org/10.1002/adma.202106781
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.