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dc.contributor.author Peera, S. Gouse -
dc.contributor.author Sahu, A. K. -
dc.contributor.author Bhat, S. D. -
dc.contributor.author Lee, Sang Cheol -
dc.date.available 2018-01-25T01:12:37Z -
dc.date.created 2017-04-10 -
dc.date.issued 2014-01 -
dc.identifier.issn 2046-2069 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5281 -
dc.description.abstract Nitrogen functionalization of graphite nanofibers (N-GNF) was performed using hexa methyl tetra amine (HMTA) as the nitrogen source and used as a support material for metal nanoparticle deposition. The successful incorporation of nitrogen was confirmed using X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy analysis. Iridium (Ir) nanoparticles with a particle size of ∼2.2 nm were deposited onto N-GNF by a simple ethanol reduction method. The oxygen reduction reaction (ORR) activity of N-GNF and the ameliorating effect of ORR on Ir deposited N-GNF (Ir/N-GNF) were studied by various physicochemical and electrochemical methods. The enhancement of ORR activity for Ir/N-GNF was evidenced by high onset potentials and mass activities. The presence of nitrogen in the Ir/N-GNF catalyst facilitates quick desorption of the -OH species from the Ir surface and accelerates the electrochemical reaction of Ir particles which in turn enhances the ORR activity. The electrochemical stability of the Ir/N-GNF was investigated by repeated potential cycling up to 2500 cycles and was found to have excellent stability for ORR activity. The PEFC with Ir/N-GNF catalyst delivers a peak power density of 450 mW cm-2 at a load current density of 1577 mA cm-2, while the PEFC with Ir/GNF catalyst delivers a peak power density of only 259 mW cm-2 at a load current density of 1040 mA cm-2 under identical operation conditions. © 2014 The Royal Society of Chemistry. -
dc.language English -
dc.publisher Royal Society of Chemistry -
dc.title Nitrogen functionalized graphite nanofibers/Ir nanoparticles for enhanced oxygen reduction reaction in polymer electrolyte fuel cells (PEFCs) -
dc.type Article -
dc.identifier.doi 10.1039/c3ra47533f -
dc.identifier.scopusid 2-s2.0-84894417862 -
dc.identifier.bibliographicCitation RSC Advances, v.4, no.22, pp.11080 - 11088 -
dc.description.isOpenAccess FALSE -
dc.citation.endPage 11088 -
dc.citation.number 22 -
dc.citation.startPage 11080 -
dc.citation.title RSC Advances -
dc.citation.volume 4 -
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Division of Intelligent Robotics 1. Journal Articles

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