MoZn-based high entropy alloy catalysts enabled dual activation and stabilization in alkaline oxygen evolution

It remains a grand challenge to develop electrocatalysts with simultaneously high activity, long durability, and low cost for the oxygen evolution reaction (OER), originating from two competing reaction pathways and often trade-off performances. The adsorbed evolution mechanism (AEM) suffers from sluggish kinetics due to a linear scaling relationship, while the lattice oxygen mechanism (LOM) causes unstable structures due to lattice oxygen escape. We propose a MoZnFeCoNi high-entropy alloy (HEA) incorporating AEM-promoter Mo and LOM-active Zn to achieve dual activation and stabilization for efficient and durable OER. Density functional theory and chemical probe experiments confirmed dual-mechanism activation, with representative Co-Co<sup>†</sup>-Mo sites facilitating AEM and Zn-O<sup>†</sup>-Ni sites enhancing LOM, resulting in an ultralow OER overpotential (η<sub>10</sub> = 221 mV). The multielement interaction, high-entropy structure, and carbon network notably enhance structural stability for durable catalysis (>1500 hours at 100 mA cm<sup>-2</sup>). Our work offers a viable approach to concurrently enhance OER activity and stability by designing HEA catalysts to enable dual-mechanism synergy.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2024-11-20
DOI
https://doi.org/10.1126/sciadv.adq6758
Citations
128
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
13.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MoZn-based high entropy alloy catalysts enabled dual activation and stabilization in alkaline oxygen evolution

Yifei Yuan, Bao Yu Xia, Yunjie Mei, Qi Wang et al.
128 citations
Science Advances
Electrocatalysts for Energy Conversion
13.10
article

MoZn-based high entropy alloy catalysts enabled dual activation and stabilization in alkaline oxygen evolution

Yifei Yuan, Bao Yu Xia, Yunjie Mei, Qi Wang, Jinli Chen, Yonggang Yao, Yuhua Wang, Hanwen Liu, W. Shi, Yaqing Guo, Lin Cheng
article en
128 citations

Abstract

It remains a grand challenge to develop electrocatalysts with simultaneously high activity, long durability, and low cost for the oxygen evolution reaction (OER), originating from two competing reaction pathways and often trade-off performances. The adsorbed evolution mechanism (AEM) suffers from sluggish kinetics due to a linear scaling relationship, while the lattice oxygen mechanism (LOM) causes unstable structures due to lattice oxygen escape. We propose a MoZnFeCoNi high-entropy alloy (HEA) incorporating AEM-promoter Mo and LOM-active Zn to achieve dual activation and stabilization for efficient and durable OER. Density functional theory and chemical probe experiments confirmed dual-mechanism activation, with representative Co-Co<sup>†</sup>-Mo sites facilitating AEM and Zn-O<sup>†</sup>-Ni sites enhancing LOM, resulting in an ultralow OER overpotential (η<sub>10</sub> = 221 mV). The multielement interaction, high-entropy structure, and carbon network notably enhance structural stability for durable catalysis (>1500 hours at 100 mA cm<sup>-2</sup>). Our work offers a viable approach to concurrently enhance OER activity and stability by designing HEA catalysts to enable dual-mechanism synergy.

Science AdvancesVol. 10(47)
Wenzhou University (CN), Science and Technology on Surface Physics and Chemistry Laboratory (CN), Wuhan University of Science and Technology (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 0%
Electrocatalysts for Energy Conversion
13.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.