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Cited by 275

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Solar- versus Thermal-Driven Catalysis for Energy Conversion

Open access
Zhao, Yufei, Gao, Wa, Li, Siwei, Williams, Gareth R., Mahadi, Abdul Hanif, Ma, Ding·2019·Joule

Abstract

Summary Today’s chemical industry is a pillar of our modern society, but it heavily relies on the consumption of non-renewable fossil fuels. The reaction conditions required to drive most of the chemical processes require high energy input, resulting in the consumption of significant amounts of dwindling reserves of fossil fuels. Therefore, more sustainable pathways are much sought after to reduce the dependence on fossil fuels and ameliorate the effects of climate change. Inspired by photosynthesis and its ability to convert CO2 and H2O to hydrocarbons, this Perspective focuses on recent advances in catalytic small-molecule activation and conversion. It will consider reactions of C-H (CH4, benzene), C=O (CO and CO2), N≡N bonds, and other fine chemicals syntheses (e.g., C-C and S-S bond coupling), driven by either solar or thermal energy. The paper also discusses the future opportunities and challenges by highlighting some strategies for the development of efficient solar or thermal catalysis processes.

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Crossref · 10.1016/j.joule.2019.03.003

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Metadata

Authors
Zhao, Y., Gao, W., Li, S., Williams, G. R., Mahadi, A. H., & Ma, D.
Venue
Joule
Publisher
Elsevier BV
Published
2019-04
Volume
3
Issue
4
Pages
920-937
ISSN
2542-4351 (ISSN-L)
OpenAlex
W2922835389
Cited by
275
References
2
FWCI
5.05
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Solar- versus Thermal-Driven Catalysis for Energy Conversion. https://app.cochat.ai/papers/10.1016/j.joule.2019.03.003
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Zhao, Y., Gao, W., Li, S., Williams, G. R., Mahadi, A. H., & Ma, D. (2019). Solar- versus Thermal-Driven Catalysis for Energy Conversion. Joule. https://doi.org/10.1016/j.joule.2019.03.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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