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Cited by 780

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Electrocatalysis for Polymer Electrolyte Fuel Cells: Recent Achievements and Future Challenges

Rabis, Annett, Rodriguez, Paramaconi, Schmidt, Thomas J.·2012·ACS Catalysis

Abstract

Fuel cell technology is currently shifting very fast from fundamental research to real development. In addition to other aspects, this transition is possible because of the important improvements achieved in the field of electrocatalysis in the past decade. This perspective will give a focused overview summarizing the most outstanding contributions in the last 10 years in terms of activity and durability of the catalyst materials for ethanol oxidation and oxygen reduction reaction, respectively. In addition, it provides an outlook about new catalyst support materials with improved performance/stability, advanced characterization techniques, and fundamental studies of reaction mechanisms and degradation processes. All the studies referred to in this perspective significantly contribute to reaching the technical targets for PEFC commercialization.

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Metadata

Authors
Rabis, A., Rodriguez, P., & Schmidt, T. J.
Venue
ACS Catalysis
Published
2012-04-18
Volume
2
Issue
5
Pages
864-890
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2324300513
Cited by
780
References
20
FWCI
31.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrocatalysis for Polymer Electrolyte Fuel Cells: Recent Achievements and Future Challenges. https://app.cochat.ai/papers/10.1021/cs3000864
The paper
Rabis, A., Rodriguez, P., & Schmidt, T. J. (2012). Electrocatalysis for Polymer Electrolyte Fuel Cells: Recent Achievements and Future Challenges. ACS Catalysis. https://doi.org/10.1021/cs3000864

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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.