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Cited by 300

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

Multilayered graphene oxide membranes for water treatment: A review

Wei, Yi, Zhang, Yushan, Gao, Xueli, Ma, Zhun, Wang, Xiaojuan, Gao, Congjie·2018·Carbon

Abstract

Abstract Resolution of the global fresh-water crisis requires advanced separation systems and hence the search for perfect separation materials is being undertaken vigorously. The ideal membrane material should be capable of being easily fabricated and modified to obtain a controllable performance. Graphene oxide (GO) is a graphene-based material with oxygen-containing functional groups. In recent years, GO-based separation membranes have received a lot of attention in the field of separation technology. In this review, we discuss the methods to fabricate or modify multilayered GO membranes. GO membranes and conventional separation membranes are compared and discussed. Further, we compared the molecular dynamics simulation results and the applications of GO membranes. Finally, we summarize the challenges and point out possible future research directions. This review is expected to help researchers obtain a quick idea of multilayered GO membranes and aid in future research for designing and fabricating multilayered GO membranes.

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Crossref · 10.1016/j.carbon.2018.07.040

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Metadata

Authors
Wei, Y., Zhang, Y., Gao, X., Ma, Z., Wang, X., & Gao, C.
Venue
Carbon
Publisher
Elsevier BV
Published
2018-11
Volume
139
Pages
964-981
ISSN
0008-6223 (ISSN-L)
OpenAlex
W2883717359
Cited by
300
References
128
FWCI
13.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multilayered graphene oxide membranes for water treatment: A review. https://app.cochat.ai/papers/10.1016/j.carbon.2018.07.040
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Wei, Y., Zhang, Y., Gao, X., Ma, Z., Wang, X., & Gao, C. (2018). Multilayered graphene oxide membranes for water treatment: A review. Carbon. https://doi.org/10.1016/j.carbon.2018.07.040

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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.