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Cited by 464

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Tunable High Performance Cross-Linked Alkaline Anion Exchange Membranes for Fuel Cell Applications

Robertson, Nicholas J., Kostalik, Henry A., Clark, Timothy J., Mutolo, Paul F., Abruña, Héctor D., Coates, Geoffrey W.·2010·Journal of the American Chemical Society
DOI 10.1021/ja908638d
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Abstract

Fuel cells are energy conversion devices that show great potential in numerous applications ranging from automobiles to portable electronics. However, further development of fuel cell components is necessary for them to become commercially viable. One component critical to their performance is the polymer electrolyte membrane, which is an ion conductive medium separating the two electrodes. While proton conducting membranes are well established (e.g., Nafion), hydroxide conducting membranes (alkaline anion exchange membranes, AAEMs) have been relatively unexplored by comparison. Operating under alkaline conditions offers significant efficiency benefits, especially for the oxygen reduction reaction; therefore, effective AAEMs could significantly advance fuel cell technologies. Here we demonstrate the use of ring-opening metathesis polymerization to generate new cross-linked membrane materials exhibiting high hydroxide ion conductivity and good mechanical properties. Cross-linking allows for increased ion incorporation, which, in turn supports high conductivities. This facile synthetic approach enables the preparation of cross-linked materials with the potential to meet the demands of hydrogen-powered fuel cells as well as direct methanol fuel cells.

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Citations

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Metadata

Authors
Robertson, N. J., Kostalik, H. A., Clark, T. J., Mutolo, P. F., Abruña, H. D., & Coates, G. W.
Venue
Journal of the American Chemical Society
Publisher
American Chemical Society (ACS)
Published
2010-02-23
Volume
132
Issue
10
Pages
3400-3404
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
DOI
10.1021/ja908638d
OpenAlex
W2079558613
Cited by
464
References
2
FWCI
29.40
Type
journal article
Language
en
Open access
closed

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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).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.