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Graphene-Based Photocatalysts for CO2 Reduction to Solar Fuel

Low, Jingxiang, Yu, Jiaguo, Ho, Wingkei·2015·The Journal of Physical Chemistry Letters

Abstract

Recently, photocatalytic CO2 reduction for solar fuel production has attracted much attention because of its potential for simultaneously solving energy and global warming problems. Many studies have been conducted to prepare novel and efficient photocatalysts for CO2 reduction. Graphene, a two-dimensional material, has been increasingly used in photocatalytic CO2 reduction. In theory, graphene shows several remarkable properties, including excellent electronic conductivity, good optical transmittance, large specific surface area, and superior chemical stability. Attributing to these advantages, fabrication of graphene-based materials has been known as one of the most feasible strategies to improve the CO2 reduction performance of photocatalysts. This Perspective mainly focuses on the recent important advances in the fabrication and application of graphene-based photocatalysts for CO2 reduction to solar fuels. The existing challenges and difficulties of graphene-based photocatalysts are also discussed for future application.

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Metadata

Authors
Low, J., Yu, J., & Ho, W.
Venue
The Journal of Physical Chemistry Letters
Published
2015-10-12
Volume
6
Issue
21
Pages
4244-4251
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2168671702
Cited by
397
References
2
FWCI
15.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graphene-Based Photocatalysts for CO2 Reduction to Solar Fuel. https://app.cochat.ai/papers/10.1021/acs.jpclett.5b01610
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Low, J., Yu, J., & Ho, W. (2015). Graphene-Based Photocatalysts for CO2 Reduction to Solar Fuel. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.5b01610

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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.