Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H2O2 from Oxygen Reduction Reaction

被引:10
|
作者
Mok, Dong Hyeon [1 ]
Back, Seoin [1 ]
Siahrostami, Samira [2 ]
机构
[1] Sogang Univ, Inst Emergent Mat, Dept Chem & Biomol Engn, Seoul 04107, South Korea
[2] Simon Fraser Univ, Dept Chem, 8888 Univ Dr, Burnaby, BC V5A 1S6, Canada
基金
新加坡国家研究基金会; 加拿大自然科学与工程研究理事会;
关键词
Two-electron oxygen reduction reaction (2e-ORR); hydrogen peroxide (H2O2); density functional theory (DFT); descriptor-based analysis; computational hydrogen electrode (CHE); high-throughput screening; binary alloys; selectivity descriptor; HYDROGEN-PEROXIDE; ELECTROCHEMICAL SYNTHESIS; TRENDS; WATER;
D O I
10.1002/anie.202404677
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Understanding selectivity trends is a crucial hurdle in the developing innovative catalysts for generating hydrogen peroxide through the two-electron oxygen reduction reaction (2e-ORR). The identification of selectivity patterns has been made more accessible through the introduction of a newly developed selectivity descriptor derived from thermodynamics, denoted as Delta Delta G introduced in Chem Catal. 2023, 3(3), 100568. To validate the suitability of this parameter as a descriptor for 2e-ORR selectivity, we utilize an extensive library of 155 binary alloys. We validate that Delta Delta G reliably depicts the selectivity trends in binary alloys reported for their high activity in the 2e-ORR. This analysis also enables the identification of nine selective 2e-ORR catalysts underscoring the efficacy of Delta Delta G as 2e-ORR selectivity descriptor. This work highlights the significance of concurrently considering both selectivity and activity trends. This holistic approach is crucial for obtaining a comprehensive understanding in the identification of high-performance catalyst materials for optimal efficiency in various applications.
引用
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页数:8
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