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Title: Testing the predictive power of theory for PdxIr(100-x) alloy nanoparticles for the oxygen reduction reaction

Journal Article · · Journal of Materials Chemistry. A
DOI:https://doi.org/10.1039/C9TA13711D· OSTI ID:1617193

Here, density functional theory (DFT) calculations of O and OH binding energies on triatomic surface ensembles of PdxIr(100-x) nanoalloys successfully predicted the overall trend in experimental oxygen reduction reaction (ORR) activity as a function of nanoparticle (NP) composition. Specifically, triatomic Pd3 ensembles were found to possess optimal O and OH binding energies and were predicted to be highly active sites for the ORR, rivaling that of Pt(111). However, DFT calculations suggest that the O binding energy increases at active sites containing Ir, thereby decreasing ORR activity. PdxIr(100-x) nanoalloys were synthesized using a microwave-assisted method and their activity towards the ORR was tested using rotating disk voltammetry (RDV). As predicted, the bimetallic electrocatalysts exhibited worse catalytic activity than the Pd-only NPs. The strong qualitative correlation between the theoretical and experimental results demonstrates that the activity of individual active sites on the surface of NPs can serve as a proxy for overall activity. This is a particularly useful strategy for applying DFT calculations to electrocatalysts that are too large for true first-principle analysis.

Research Organization:
Univ. of Texas, Austin, TX (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division; National Science Foundation (NSF); Robert A; Welch Foundation
Grant/Contract Number:
SC0010576; CHE-1807847; F-0032; F-1841; F-1738
OSTI ID:
1617193
Alternate ID(s):
OSTI ID: 1615133
Journal Information:
Journal of Materials Chemistry. A, Vol. 8, Issue 17; ISSN 2050-7488
Publisher:
Royal Society of ChemistryCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 6 works
Citation information provided by
Web of Science

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