The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
CO2 Reduction: From the Electrochemical to Photochemical Approach
Open accessAbstract
Increasing CO 2 concentration in the atmosphere is believed to have a profound impact on the global climate. To reverse the impact would necessitate not only curbing the reliance on fossil fuels but also developing effective strategies capture and utilize CO 2 from the atmosphere. Among several available strategies, CO 2 reduction via the electrochemical or photochemical approach is particularly attractive since the required energy input can be potentially supplied from renewable sources such as solar energy. In this Review, an overview on these two different but inherently connected approaches is provided and recent progress on the development, engineering, and understanding of CO 2 reduction electrocatalysts and photocatalysts is summarized. First, the basic principles that govern electrocatalytic or photocatalytic CO 2 reduction and their important performance metrics are discussed. Then, a detailed discussion on different CO 2 reduction electrocatalysts and photocatalysts as well as their generally designing strategies is provided. At the end of this Review, perspectives on the opportunities and possible directions for future development of this field are presented.
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Cites
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Cited by
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Multifunctional Transition Metal‐Based Phosphides in Energy‐Related Electrocatalysis
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Self-citationDefect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
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Self-citation
Metadata
- Authors
- Wu, J., Huang, Y., Ye, W., & Li, Y.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2017-09-12
- Volume
- 4
- Issue
- 11
- Pages
- 1700194-1700194
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W2755269103
- Cited by
- 937
- References
- 27
- FWCI
- 15.73
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
