The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.
Atomic‐Level Reactive Sites for Semiconductor‐Based Photocatalytic CO2 Reduction
Abstract
Photocatalytic CO 2 reduction is an effective means to generate renewable energy. It involves redox reactions, reduction of CO 2 and oxidation of water, that leads to the production of solar fuel. Significant research effort has therefore been made to develop inexpensive and practically sustainable semiconductor‐based photocatalysts. The exploration of atomic‐level active sites on the surface of semiconductors can result in an improved understanding of the mechanism of CO 2 photoreduction. This can be applied to the design and synthesis of efficient photocatalysts. In this review, atomic‐level reactive sites are classified into four types: vacancies, single atoms, surface functional groups, and frustrated Lewis pairs (FLPs). These different photocatalytic reactive sites are shown to have varied affinity to reactants, intermediates, and products. This changes pathways for CO 2 reduction and significantly impacts catalytic activity and selectivity. The design of a photocatalyst from an atomic‐level perspective can therefore be used to maximize atomic utilization efficiency and lead to a high selectivity. The prospects for fabrication of effective photocatalysts based on an in‐depth understanding are highlighted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A metal-free polymeric photocatalyst for hydrogen production from water under visible light
Wang, X., Maeda, K., Thomas, A., Takanabe, K., Xin, G., Carlsson, J. M., Domen, K., & Antonietti, M. (2009) · Nature Materials · doi:10.1038/nmat2317 · Cited by 12,532
Powering the planet: Chemical challenges in solar energy utilization
Lewis, N. S., & Nocera, D. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603395103 · Cited by 8,310
Increasing Solar Absorption for Photocatalysis with Black Hydrogenated Titanium Dioxide Nanocrystals
Chen, X., Liu, L., Yu, P. Y., & Mao, S. S. (2011) · Science · doi:10.1126/science.1200448 · Cited by 6,245
Irreversible climate change due to carbon dioxide emissions
Solomon, S., Plattner, G.-K., Knutti, R., & Friedlingstein, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812721106 · Cited by 3,217
Greenhouse-gas emission targets for limiting global warming to 2 °C
Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C. B., Frieler, K., Knutti, R., Frame, D. J., & Allen, M. R. (2009) · Nature · doi:10.1038/nature08017 · Cited by 2,775
Reversible, Metal-Free Hydrogen Activation
Welch, G. C., Juan, R. R. S., Masuda, J. D., & Stephan, D. W. (2006) · Science · doi:10.1126/science.1134230 · Cited by 2,183
Fu, Y., Sun, D., Chen, Y., Huang, R., Ding, Z., Fu, X., & Li, Z. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201108357 · Cited by 1,741
Li, X., Sun, Y., Xu, J., Shao, Y., Wu, J., Xu, X., Pan, Y., Ju, H., Zhu, J., & Xie, Y. (2019) · Nature Energy · doi:10.1038/s41560-019-0431-1 · Cited by 1,636
Ran, J., Jaroniec, M., & Qiao, S. (2018) · Advanced Materials · doi:10.1002/adma.201704649 · Cited by 1,531
Self-citationDual Cocatalysts in TiO2 Photocatalysis
Meng, A., Zhang, L., Cheng, B., & Yu, J. (2019) · Advanced Materials · doi:10.1002/adma.201807660 · Cited by 1,249
Cited by
Recent Progress of Metal Sulfide Photocatalysts for Solar Energy Conversion
Zhu, Q., Xu, Q., Du, M., Zeng, X., Zhong, G., Qiu, B., & Zhang, J. (2022) · Advanced Materials · doi:10.1002/adma.202202929 · Cited by 423
Recent advances on Bi2WO6-based photocatalysts for environmental and energy applications
Chen, T., Liu, L., Hu, C., & Huang, H. (2021) · Chinese Journal of Catalysis · doi:10.1016/s1872-2067(20)63769-x · Cited by 363
Metadata
- Authors
- Zhang, Y., Xia, B., Ran, J., Davey, K., & Qiao, S. Z.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2020-01-31
- Volume
- 10
- Issue
- 9
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W3003267829
- Cited by
- 423
- References
- 127
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Atomic‐Level Reactive Sites for Semiconductor‐Based Photocatalytic CO2 Reduction. https://app.cochat.ai/papers/10.1002/aenm.201903879
- The paper
- Zhang, Y., Xia, B., Ran, J., Davey, K., & Qiao, S. Z. (2020). Atomic‐Level Reactive Sites for Semiconductor‐Based Photocatalytic CO2 Reduction. Advanced Energy Materials. https://doi.org/10.1002/aenm.201903879
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.
