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Cited by 225

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Synthetic Two‐Dimensional Materials: A New Paradigm of Membranes for Ultimate Separation

Open access
Zheng, Zhikun, Grünker, Ronny, Feng, Xinliang·2016·Advanced Materials

Abstract

Microporous membranes act as selective barriers and play an important role in industrial gas separation and water purification. The permeability of such membranes is inversely proportional to their thickness. Synthetic two‐dimensional materials (2DMs), with a thickness of one to a few atoms or monomer units are ideal candidates for developing separation membranes. Here, groundbreaking advances in the design, synthesis, processing, and application of 2DMs for gas and ion separations, as well as water desalination are presented. This report describes the syntheses, structures, and mechanical properties of 2DMs. The established methods for processing 2DMs into selective permeation membranes are also discussed and the separation mechanism and their performances addressed. Current challenges and emerging research directions, which need to be addressed for developing next‐generation separation membranes, are summarized.

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Crossref · 10.1002/adma.201506237

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Metadata

Authors
Zheng, Z., Grünker, R., & Feng, X.
Venue
Advanced Materials
Publisher
Wiley
Published
2016-05-23
Volume
28
Issue
31
Pages
6529-6545
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2406461670
Cited by
225
References
3
FWCI
28.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Synthetic Two‐Dimensional Materials: A New Paradigm of Membranes for Ultimate Separation. https://app.cochat.ai/papers/10.1002/adma.201506237
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Zheng, Z., Grünker, R., & Feng, X. (2016). Synthetic Two‐Dimensional Materials: A New Paradigm of Membranes for Ultimate Separation. Advanced Materials. https://doi.org/10.1002/adma.201506237

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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).

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