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Ultrathin rhodium nanosheets
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Metallic nanostructures with low dimensionality for electrochemical water splitting
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Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
Interface-Assisted Synthesis of 2D Materials: Trend and Challenges
Dong, R., Zhang, T., & Feng, X. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00056 · Cited by 710
Liu, L., & Corma, A. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00733 · Cited by 689
Zhao, Y., Waterhouse, G. I. N., Chen, G., Xiong, X., Wu, L.-Z., Tung, C.-H., & Zhang, T. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00607e · Cited by 435
Metadata
- Authors
- Duan, H., Yan, N., Yu, R., Chang, C.-R., Zhou, G., Hu, H.-S., Rong, H., Niu, Z., Mao, J., Asakura, H., Tanaka, T., Dyson, P. J., Li, J., & Li, Y.
- Venue
- Nature Communications
- Published
- 2014-01-17
- Volume
- 5
- Issue
- 1
- Pages
- 3093-3093
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W1992035098
- Cited by
- 515
- References
- 10
- FWCI
- 20.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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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.
