过电位
析氧
分解水
层状双氢氧化物
催化作用
电催化剂
三元运算
氢氧化物
无机化学
碱性水电解
镍
材料科学
电解水
化学
制氢
化学工程
电解
电解质
电化学
冶金
物理化学
计算机科学
电极
工程类
光催化
生物化学
程序设计语言
作者
Sun Young Jung,Kang Min Kim,Sungwook Mhin,Young‐Kwang Kim,Jeong Ho Ryu,Enkhbayar Enkhtuvshin,So Jung Kim,Nguyen Thi Thu Thao,Seunggun Choi,Taeseup Song,HyukSu Han
摘要
Electrochemical water splitting is one of the most efficient techniques to produce hydrogen in an environmentally friendly way. However, a sluggish anodic reaction, namely oxygen evolution reaction (OER), requires the use of an efficient electrocatalyst for achieving economic hydrogen production. Transition-metal-based layered double hydroxides (LDHs) are promising electrocatalysts for reducing the overpotential of OER in alkaline electrolyte, which is essential for efficient water electrolysis. Nickel-iron-based LDHs (Ni-Fe LDH) have been regarded as the best OER electrocatalysts under alkaline conditions. Hence, a number of research studies have been conducted on further improving the electrocatalytic performance of Ni-Fe LDH. Although the chemical blending of other transition metals with Ni-Fe-LDH is a simple and reliable strategy to enhance the OER activity of Ni-Fe-LDH, a systematic investigation on designing Ni-Fe-LDH with different additional elements is still lacking. In addition, the design of multi-metallic LDH compound via only experimental method is very costly and time-consuming process. In this study, atomic-scale computational and experimental studies are performed to design OER electrocatalysts including unary, binary, and ternary LDH compounds consisting of Ni, Fe, Al, and Co. Density functional theory calculations predict that Ni-Fe-Co ternary LDH can lead to the lowest overpotential for alkaline OER among various computationally modeled LDH systems. Further, experimental verifications successfully demonstrate the computational prediction wherein Ni-Fe-Co-LDH exhibits superior catalytic performance compared with Ni-Fe-LDH and benchmark IrO2 catalysts.
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