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Cited by 481

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Principles and applications of photothermal catalysis

Open access
Song, Chuqiao, Wang, Zhaohua, Yin, Zhen, Xiao, Dequan, Ma, Ding·2022·Chem Catalysis

Abstract

Solar energy provides an alternative, sustainable, and clean source of energy to meet the global energy demands without extra carbon emissions. However, the utilization efficiency of sunlight via most traditional photocatalytic processes remains relatively low. Photothermal catalysis, combining the advantages of photocatalysis and thermocatalysis, has emerged as a new fast-growing research area. In this review, we first discuss three different mechanisms of photothermal effects and then describe the functioning principles of photothermal catalysis. We categorize the photothermal catalysts into three types based on their specific coupling modes of thermochemical and photochemical pathways. We also illustrate the catalyst design strategies and characterization methods for photothermal catalysis. As specific examples of applications, we summarize the recent research progress on the photothermal catalytic reactions for CO2 conversion, CH4 activation, NH3 synthesis, and water splitting. Last, we present the challenges and perspectives in this field, as a guide for future development in photothermal catalysis.

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Metadata

Authors
Song, C., Wang, Z., Yin, Z., Xiao, D., & Ma, D.
Venue
Chem Catalysis
Publisher
Elsevier BV
Published
2022-01
Volume
2
Issue
1
Pages
52-83
ISSN
2667-1093 (ISSN-L)
OpenAlex
W3212961015
Cited by
481
References
122
FWCI
12.52
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Principles and applications of photothermal catalysis. https://app.cochat.ai/papers/10.1016/j.checat.2021.10.005
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Song, C., Wang, Z., Yin, Z., Xiao, D., & Ma, D. (2022). Principles and applications of photothermal catalysis. Chem Catalysis. https://doi.org/10.1016/j.checat.2021.10.005

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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.