The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Enhanced electrocatalytic performance for the hydrogen evolution reaction through surface enrichment of platinum nanoclusters alloying with ruthenium in situ embedded in carbon
Abstract
PtRu alloy nanoparticles, surface-enriched with Pt nanoclusters and partially-embedded in carbon, act as the cost-effective and promising alternative to commercial Pt/C for electrocatalytic hydrogen evolution.
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An efficient and pH-universal ruthenium-based catalyst for the hydrogen evolution reaction
Mahmood, J., Li, F., Jung, S.-M., Okyay, M. S., Ahmad, I., Kim, S.-J., Park, N., Jeong, H. Y., & Baek, J.-B. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2016.304 · Cited by 1,685
Cited by
Metallic nanostructures with low dimensionality for electrochemical water splitting
Li, L., Wang, P., Shao, Q., & Huang, X. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00013b · Cited by 1,049
Recent Advances and Prospective in Ruthenium-Based Materials for Electrochemical Water Splitting
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CoP‐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
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Metadata
- Authors
- Li, K., Li, Y., Wang, Y., Ge, J., Liu, C., & Xing, W.
- Venue
- Energy & Environmental Science
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 11
- Issue
- 5
- Pages
- 1232-1239
- ISSN
- 1754-5692 (ISSN-L)
- 1754-5706
- OpenAlex
- W2796229838
- Cited by
- 282
- References
- 67
- FWCI
- 8.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, K., Li, Y., Wang, Y., Ge, J., Liu, C., & Xing, W. (2018). Enhanced electrocatalytic performance for the hydrogen evolution reaction through surface enrichment of platinum nanoclusters alloying with ruthenium in situ embedded in carbon. Energy & Environmental Science. https://doi.org/10.1039/c8ee00402a
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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