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Cited by 1,901

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Electrically Conductive Porous Metal–Organic Frameworks

Sun, Lei, Campbell, Michael G., Dincă, Mircea·2016·Angewandte Chemie International Edition

Abstract

Owing to their outstanding structural, chemical, and functional diversity, metal–organic frameworks (MOFs) have attracted considerable attention over the last two decades in a variety of energy‐related applications. Notably missing among these, until recently, were applications that required good charge transport coexisting with porosity and high surface area. Although most MOFs are electrical insulators, several materials in this class have recently demonstrated excellent electrical conductivity and high charge mobility. Herein we review the synthetic and electronic design strategies that have been employed thus far for producing frameworks with permanent porosity and long‐range charge transport properties. In addition, key experiments that have been employed to demonstrate electrical transport, as well as selected applications for this subclass of MOFs, will be discussed.

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Crossref · 10.1002/anie.201506219

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Metadata

Authors
Sun, L., Campbell, M. G., & Dincă, M.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-01-08
Volume
55
Issue
11
Pages
3566-3579
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2230127221
Cited by
1,901
References
1
FWCI
77.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrically Conductive Porous Metal–Organic Frameworks. https://app.cochat.ai/papers/10.1002/anie.201506219
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Sun, L., Campbell, M. G., & Dincă, M. (2016). Electrically Conductive Porous Metal–Organic Frameworks. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201506219

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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.