The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Metal–organic frameworks for electrocatalysis
Abstract
Abstract Porous coordination polymers (PCPs) or metal–organic frameworks (MOFs) have been widely used as catalysts for their large porosities, uniform pore sizes/shapes, diversified/tunable pore surfaces, redox properties, and other unique structural features. Accompanying the urgent need for clean and sustainable technologies for energy storage and conversion, as well as the fast improvement of the chemical stability of these materials, MOFs and their composites are emerging as unique electrocatalysts for the hydrogen evolution reaction, oxygen evolution reaction, oxygen reduction reaction, carbon dioxide reduction reaction, and some other redox reactions. This review summaries representative progress and focuses on the structure–property relationships. Combining the advantages of inorganic heterogeneous and molecular homogeneous catalysts, MOFs can serve as a promising platform for achieving high electrocatalytic performances and studying the electrocatalytic mechanisms. More attention should be devoted to designing new MOFs with high chemical stability and electric conductivity, and optimizing their crystal growth on conducting substances.
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Cites
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Cited by
Metal–organic frameworks as a platform for clean energy applications
Li, X., Yang, X., Xue, H., Pang, H., & Xu, Q. (2020) · EnergyChem · doi:10.1016/j.enchem.2020.100027 · Cited by 706
Wang, Y.-R., Huang, Q., He, C.-T., Chen, Y., Liu, J., Shen, F.-C., & Lan, Y.-Q. (2018) · Nature Communications · doi:10.1038/s41467-018-06938-z · Cited by 482
MOF-derived nanohybrids for electrocatalysis and energy storage: current status and perspectives
Zhang, H., Liu, X., Wu, Y., Guan, C., Cheetham, A. K., & Wang, J. (2018) · Chemical Communications · doi:10.1039/c8cc00789f · Cited by 309
Metadata
- Authors
- Liao, P.-Q., Shen, J.-Q., & Zhang, J.-P.
- Venue
- Coordination Chemistry Reviews
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 373
- Pages
- 22-48
- ISSN
- 0010-8545 (ISSN-L)
- OpenAlex
- W2759055799
- Cited by
- 476
- References
- 15
- FWCI
- 16.03
- Type
- journal article
- Language
- en
- Open access
- closed
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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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