The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
One-Nanometer-Thick Pt3Ni Bimetallic Alloy Nanowires Advanced Oxygen Reduction Reaction: Integrating Multiple Advantages into One Catalyst
Open accessAbstract
Developing highly active as well as durable oxygen reduction reaction (ORR) electrocatalysts are still imperative for clean and efficient energy conversion device, such as fuel cells and metal-air battery. For this purpose and maximize the utilization of noble Pt, we present here a facile, yet scalable strategy for the high-precise synthesis of 1-nm-thick Pt 3 Ni bimetallic alloy nanowires (Pt 3 Ni BANWs). The seed-mediated growth mechanism of Pt 3 Ni BANWs was identified subsequently. As expected, the Pt 3 Ni BANWs delivered enhanced mass activity (0.546 A mg Pt –1, exceeding the 2020 target of DOE) in comparison to Pt nanowires assembly (Pt NWA, 0.098 A mg Pt –1 ) and Pt/C (Pt, 0.135 A mg Pt –1 ), because of the rational integration of multiple compositional and structural advantages. Moreover, the Pt 3 Ni BANWs displayed enhanced durability (37% MA retention) than Pt NWA and Pt after 50 000 potential cycles. All these results indicate that the ultrathin Pt 3 Ni BANWs are potential candidates for catalyzing ORR with acceptable activity and durability. The present work could not only provide a facile strategy but also a general guidance for the design of superb performance Pt-based nanowire catalysts for ORR.
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
Electrocatalyst approaches and challenges for automotive fuel cells
Debe, M. K. (2012) · Nature · doi:10.1038/nature11115 · Cited by 5,885
Improved Oxygen Reduction Activity on Pt 3 Ni(111) via Increased Surface Site Availability
Stamenkovic, V. R., Fowler, B., Mun, B. S., Wang, G., Ross, P. N., Lucas, C. A., & Marković, N. M. (2007) · Science · doi:10.1126/science.1135941 · Cited by 4,421
Recent Advances in Electrocatalysts for Oxygen Reduction Reaction
Shao, M., Chang, Q., Dodelet, J.-P., & Chenitz, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00462 · Cited by 3,903
Highly Crystalline Multimetallic Nanoframes with Three-Dimensional Electrocatalytic Surfaces
Chen, C., Kang, Y., Huo, Z., Zhu, Z., Huang, W., Xin, H. L., Snyder, J. D., Li, D., Herron, J. A., Mavrikakis, M., et al. (2014) · Science · doi:10.1126/science.1249061 · Cited by 2,765
Self-citationUltrafine jagged platinum nanowires enable ultrahigh mass activity for the oxygen reduction reaction
Li, M., Zhao, Z., Cheng, T., Fortunelli, A., Chen, C.-Y., Yu, R., Zhang, Q., Gu, L., Merinov, B. V., Lin, Z., et al. (2016) · Science · doi:10.1126/science.aaf9050 · Cited by 1,605
Strain-controlled electrocatalysis on multimetallic nanomaterials
Luo, M., & Guo, S. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.59 · Cited by 1,115
Yu, T., Kim, D. Y., Zhang, H., & Xia, Y. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201007859 · Cited by 454
Huang, H., Li, K., Chen, Z., Luo, L., Gu, Y., Zhang, D., Ma, C., Si, R., Yang, J., Peng, Z., et al. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b01036 · Cited by 312
Cited by
Jin, H., Xu, Z., Hu, Z.-Y., Yin, Z., Wang, Z., Deng, Z., Wei, P., Feng, S., Dong, S., Liu, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37268-4 · Cited by 232
Self-citationLiu, M., Lu, B., Yang, G., Yuan, P., Xia, H., Wang, Y., Guo, K., Zhao, S., Liu, J., Yu, Y., et al. (2022) · Advanced Science · doi:10.1002/advs.202200147 · Cited by 65
Synthesis of S-doped AuPbPt alloy nanowire-networks as superior catalysts towards the ORR and HER
Zhang, X., Wang, S., Wu, C., Li, H., Cao, Y., Li, S., & Xia, H. (2020) · Journal of Materials Chemistry A · doi:10.1039/d0ta06543a · Cited by 54
Cai, Y., Liu, H., Chen, X., Yang, X., Zhang, L., Li, D., & Yang, D. (2022) · Materials Today Sustainability · doi:10.1016/j.mtsust.2022.100222 · Cited by 14
Metadata
- Authors
- Gong, M., Deng, Z., Xiao, D., Han, L., Zhao, T., Lu, Y., Shen, T., Liu, X., Lin, R., Huang, T., Zhou, G., Xin, H., & Wang, D.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-04-05
- Volume
- 9
- Issue
- 5
- Pages
- 4488-4494
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2929418124
- Cited by
- 176
- References
- 8
- FWCI
- 5.26
- 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.