Prediction of Stable and Active (Oxy-Hydro) Oxide Nanoislands on Noble-Metal Supports for Electrochemical Oxygen Reduction Reaction

被引:26
作者
Back, Seoin [1 ]
Hansen, Martin H. [2 ]
Torres, Jose A. Garrido [2 ]
Zhao, Zhenghang [1 ]
Norskov, Jens K. [1 ,2 ,3 ]
Siahrostami, Samira [1 ]
Bajdich, Michal [2 ]
机构
[1] Stanford Univ, Dept Chem Engn, SUNCAT Ctr Interface Sci & Catalysis, Stanford, CA 94305 USA
[2] SLAC Natl Accelerator Lab, SUNCAT Ctr Interface Sci & Catalysis, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA
[3] Tech Univ Denmark, Dept Phys, DK-2800 Lyngby, Denmark
基金
新加坡国家研究基金会;
关键词
oxide; oxy-hydroxide; FCC metal supports; density functional theory calculations; oxygen reduction reaction; Pourbaix diagrams; correlation analysis; multivariant linear regression; COBALT OXIDE; NICKEL-OXIDE; EVOLUTION; OXIDATION; CATALYSTS; BULK; ELECTROCATALYSTS; INTERFACE; STABILITY; PLATINUM;
D O I
10.1021/acsami.8b15428
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Developing cost-effective oxygen electrocatalysts with high activity and stability is key to their commercialization. However, economical earth-abundant catalysts based on first-row transition-metal oxides suffer from low electrochemical stability, which is difficult to improve without compromising their activity. Here, using density functional theory calculations, we demonstrate that noble-metal supports lead to bifunctional enhancement of both the stability and the oxygen reduction reaction (ORR) activity of metal (oxy-hydro) oxide nanoislands. We observe a significant stabilization of supported nanoislands beyond the intrinsic stability limits of bulk phases, which originates from a favorable lattice mismatch and reductive charge transfer from oxophilic supports. We discover that interfacial active sites (located between the nanoisland and the support) reinforce the binding strength of reaction intermediates, hence boosting ORR activity. Considering that both stability and activity lead to discovery of CoOOH vertical bar Pt, NiOOH vertical bar Ag, and FeO2 vertical bar Ag as viable systems for alkaline ORR, we then use a multivariant linear regression method to identify elementary descriptors for efficient screening of promising cost-effective nanoisland vertical bar support catalysts.
引用
收藏
页码:2006 / 2013
页数:8
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