Highly Active Water-Splitting Electrocatalyst Developed by the Creation of Oxygen Vacancies in a Perovskite Oxide

电催化剂 钙钛矿(结构) 氧气 氧化物 分解水 材料科学 析氧 活性氧 化学工程 化学 催化作用 结晶学 冶金 电极 物理化学 电化学 工程类 有机化学 光催化 生物化学
作者
Md. Sofiul Alom,Narayan Acharya,Antonis N. Andriotis,Madhu Menon,Farshid Ramezanipour
出处
期刊:ACS applied energy materials [American Chemical Society]
卷期号:8 (6): 3369-3378 被引量:16
标识
DOI:10.1021/acsaem.4c02821
摘要

Using both experimental and computational approaches, we have demonstrated a major enhancement of electrocatalytic activity for both half-reactions of water splitting, i.e., the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) in alkaline conditions, through the incorporation of oxygen vacancies in the perovskite oxide La2FeNiO6 (LaFe0.5Ni0.5O3). Density functional theory (DFT) calculations predicted that the incorporation of oxygen vacancies would lead to the reinforcement of several electronic parameters, namely, the proximity of the d-band center to the Fermi level, closer separation between p and d bands, and greater hybridization of those bands, all of which are known to be descriptors of electrocatalytic properties. Therefore, DFT simulations predicted that the electrocatalytic activity should be enhanced due to the presence of oxygen vacancies. This was thoroughly confirmed by the experiment, where the reduced material containing oxygen vacancies, termed LaFe0.5Ni0.5O3-R, showed remarkably lower overpotentials for both HER and OER. This was particularly notable for OER, where the overpotential decreased by nearly 100 mV, reaching η10 = 330 mV, comparable to those of noble metal catalysts such as IrO2 and RuO2. In addition, for both HER and OER, the mass activity and reaction kinetics were enhanced upon the creation of oxygen vacancies. Furthermore, a significant increase in turnover frequency (TOF), by nearly 8-fold, was achieved. In addition, electrochemical impedance spectroscopy indicated that the charge-transport properties were enhanced, leading to facile electron transfer for both HER and OER. The excellent match between computational predictions and experimental results is notable.
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