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Cited by 428

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Heterogeneous Molecular Systems for Photocatalytic CO2 Reduction with Water Oxidation

Liu, Xiao, Inagaki, Shinji, Gong, Jinlong·2016·Angewandte Chemie International Edition

Abstract

Artificial photosynthesis—reduction of CO 2 into chemicals and fuels with water oxidation in the presence of sunlight as the energy source—mimics natural photosynthesis in green plants, and is considered to have a significant part to play in future energy supply and protection of our environment. The high quantum efficiency and easy manipulation of heterogeneous molecular photosystems based on metal complexes enables them to act as promising platforms to achieve efficient conversion of solar energy. This Review describes recent developments in the heterogenization of such photocatalysts. The latest state‐of‐the‐art approaches to overcome the drawbacks of low durability and inconvenient practical application in homogeneous molecular systems are presented. The coupling of photocatalytic CO 2 reduction with water oxidation through molecular devices to mimic natural photosynthesis is also discussed.

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Crossref · 10.1002/anie.201600395

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Metadata

Authors
Liu, X., Inagaki, S., & Gong, J.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-10-14
Volume
55
Issue
48
Pages
14924-14950
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2530268118
Cited by
428
References
9
FWCI
12.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Heterogeneous Molecular Systems for Photocatalytic CO2 Reduction with Water Oxidation. https://app.cochat.ai/papers/10.1002/anie.201600395
The paper
Liu, X., Inagaki, S., & Gong, J. (2016). Heterogeneous Molecular Systems for Photocatalytic CO2 Reduction with Water Oxidation. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201600395

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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.