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Cited by 256

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Design and synthesis of covalent organic frameworks towards energy and environment fields

Cao, Shuai, Li, Bing, Zhu, Rongmei, Pang, Huan·2019·Chemical Engineering Journal

Abstract

Abstract Covalent organic frameworks (COFs) are burgeoning crystalline porous materials that are constituted with organic building units and covalent bonds. The pre-designable porous structures make a platform for solving energy and environmental problems. This article systematically presents the basic design principle of COFs and introduces the applications in energy and environment fields, for instance, gas storage, energy storage, photoconduction, and catalysis. We also discussed the gas storage conditions and the strategies to improve the hydrogen storage. Finally, we proposed a scheme for improving the storage capacity of lithium-ion (Li-ion) batteries with COFs and the use of COFs to remove Hg in water, and as a catalyst to make rational use of solar energy.

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Crossref · 10.1016/j.cej.2018.08.184

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Metadata

Authors
Cao, S., Li, B., Zhu, R., & Pang, H.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2019-01
Volume
355
Pages
602-623
ISSN
1385-8947 (ISSN-L)
OpenAlex
W2889338851
Cited by
256
References
7
FWCI
11.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design and synthesis of covalent organic frameworks towards energy and environment fields. https://app.cochat.ai/papers/10.1016/j.cej.2018.08.184
The paper
Cao, S., Li, B., Zhu, R., & Pang, H. (2019). Design and synthesis of covalent organic frameworks towards energy and environment fields. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2018.08.184

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.