The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Facile Synthesis of Surfactant-Free Au Cluster/Graphene Hybrids for High-Performance Oxygen Reduction Reaction
Open accessAbstract
Non-Pt noble metal clusters like Au clusters are believed to be promising high performance catalysts for the oxygen reduction reaction (ORR) at the cathode of fuel cells, but they still suffer big problems during the catalysis reactions, such as a large amount of the capping agents being on the surface and easy occurrence of dissolution and aggregation. To overcome these obstacles, here, we present a novel and general strategy to grow ultrafine Au clusters and other metal (Pt, Pd) clusters on the reduced graphene oxide (rGO) sheets without any additional protecting molecule or reductant. Compared with the currently generally adopted nanocatalysts, including commercial Pt/C, rGO sheets, Au nanoparticle/rGO hybrids, and thiol-capped Au clusters of the same sizes, the as-synthesized Au cluster/rGO hybrids display an impressive eletrocatalytic performance toward ORR, for instance, high onset potential, superior methanol tolerance, and excellent stability.
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
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
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
Electrocatalyst approaches and challenges for automotive fuel cells
Debe, M. K. (2012) · Nature · doi:10.1038/nature11115 · Cited by 5,885
Gasteiger, H. A., Kocha, S. S., Sompalli, B., & Wagner, F. T. (2005) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2004.06.021 · Cited by 4,876
High-Performance Electrocatalysts for Oxygen Reduction Derived from Polyaniline, Iron, and Cobalt
Wu, G., More, K. L., Johnston, C. M., & Zelenay, P. (2011) · Science · doi:10.1126/science.1200832 · Cited by 3,984
Slanac, D. A., Hardin, W. G., Johnston, K. P., & Stevenson, K. J. (2012) · Journal of the American Chemical Society · doi:10.1021/ja303580b · Cited by 295
Cited by
Oxygen Reduction in Alkaline Media: From Mechanisms to Recent Advances of Catalysts
Ge, X., Sumboja, A., Wuu, D., An, T., Li, B., Goh, F. W. T., Hor, T. S. A., Zong, Y., & Liu, Z. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b00524 · Cited by 1,341
25th Anniversary Article: Hybrid Nanostructures Based on Two‐Dimensional Nanomaterials
Huang, X., Tan, C., Yin, Z., & Zhang, H. (2014) · Advanced Materials · doi:10.1002/adma.201304964 · Cited by 632
Zhang, C., Sha, J., Fei, H., Liu, M., Yazdi, S., Zhang, J., Zhong, Q., Zou, X., Zhao, N., Yu, H., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b02148 · Cited by 545
Xia, B. Y., Wu, H. B., Yan, Y., Lou, X. W. (., & Wang, X. (2013) · Journal of the American Chemical Society · doi:10.1021/ja402955t · Cited by 464
Recent progress on graphene-based hybrid electrocatalysts
Xia, B., Yan, Y., Wang, X., & Lou, X. W. (. (2014) · Mater. Horiz. · doi:10.1039/c4mh00040d · Cited by 331
Metadata
- Authors
- Yin, H., Tang, H., Wang, D., Gao, Y., & Tang, Z.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-09-04
- Volume
- 6
- Issue
- 9
- Pages
- 8288-8297
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2329491871
- Cited by
- 613
- References
- 6
- FWCI
- 25.39
- 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
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.