Ferroelectric Polarization Effects of Single-Atom Catalysts on Water Oxidation

被引:0
|
作者
Ma, Hao [1 ]
Ye, Xinyu [1 ]
Li, Xiaoning [2 ]
Xu, Zhichuan J. [3 ]
Sun, Yuanmiao [1 ,4 ]
机构
[1] Chinese Acad Sci, Inst Technol Carbon Neutral, Shenzhen Inst Adv Technol, Shenzhen Univ Town,Shenzhen 1068 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
[2] RMIT Univ, Ctr Atomat & Nanomfg CAN, Sch Sci, Melbourne, Vic 3000, Australia
[3] Nanyang Technol Univ, Sch Mat Sci & Engn, Singapore 639798, Singapore
[4] Shenzhen Univ Adv Technol, Fac Mat Sci & Energy Engn, Shenzhen 518107, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金; 新加坡国家研究基金会;
关键词
ferroelectric polarization; heterostructures; oxygen evolution reaction; single atom catalysts; OXYGEN EVOLUTION; FUNDAMENTALS; CONVERSION; REDUCTION;
D O I
10.1002/adma.202500285
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The oxygen evolution reaction (OER) performance of single-atom catalysts (SACs) heavily depends on their substrates. However, heterojunctions with traditional substrate materials often fail to provide the desired dynamic interface effects. Here, through a systematic study of the ferroelectric heterostructure In2Se3/C-N-M, the feasibility of using ferroelectric materials to achieve dynamic optimization of the OER activity on SACs is demonstrated. The ferroelectric In2Se3 is confirmed to be an effective substrate for improving the stability of various SACs, supported by theoretical results of their negative formation energy and positive dissolution potential. Activity analysis indicates that among these In2Se3/C-N-M systems, the In2Se3/C-N-Ir can achieve near-ideal catalytic activities through polarization switching. It can unprecedentedly catalyze OER via a hybrid pathway of adsorbate evolution mechanism and O-O coupling mechanism under different pH conditions (from pH = 1 to pH = 13). Machine learning models have been developed to conduct feature analysis and make ultrafast predictions of OER activity, which identify that the interfacial charge transfer triggered by ferroelectric polarization is the key to fine-tuning the OER performance of SACs. This work provides a theoretical framework that utilizes ferroelectric polarization as a powerful approach to navigate the design of efficient SACs.
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页数:14
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