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Cited by 528

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Nano-architecture and material designs for water splitting photoelectrodes

Chen, Hao Ming, Chen, Chih Kai, Liu, Ru-Shi, Zhang, Lei, Zhang, Jiujun, Wilkinson, David P.·2012·Chemical Society Reviews

Abstract

This review concerns the efficient conversion of sunlight into chemical fuels through the photoelectrochemical splitting of water, which has the potential to generate sustainable hydrogen fuel. In this review, we discuss various photoelectrode materials and relative design strategies with their associated fabrication for solar water splitting. Factors affecting photoelectrochemical performance of these materials and designs are also described. The most recent progress in the research and development of new materials as well as their corresponding photoelectrodes is also summarized in this review. Finally, the research strategies and future directions for water splitting are discussed with recommendations to facilitate the further exploration of new photoelectrode materials and their associated technologies.

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Crossref · 10.1039/c2cs35019j

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Metadata

Authors
Chen, H. M., Chen, C. K., Liu, R.-S., Zhang, L., Zhang, J., & Wilkinson, D. P.
Venue
Chemical Society Reviews
Published
2012
Volume
41
Issue
17
Pages
5654
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2110959060
Cited by
528
References
3
FWCI
1.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nano-architecture and material designs for water splitting photoelectrodes. https://app.cochat.ai/papers/10.1039/c2cs35019j
The paper
Chen, H. M., Chen, C. K., Liu, R.-S., Zhang, L., Zhang, J., & Wilkinson, D. P. (2012). Nano-architecture and material designs for water splitting photoelectrodes. Chemical Society Reviews. https://doi.org/10.1039/c2cs35019j

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.