塔菲尔方程
双功能
过电位
电催化剂
材料科学
析氧
电子转移
肖特基势垒
催化作用
碳纤维
化学工程
纳米技术
电化学
化学
电极
光化学
物理化学
光电子学
有机化学
复合数
二极管
工程类
复合材料
作者
Qing Dong,Hui Wang,Jianwei Ren,Xuyun Wang,Rongfang Wang
标识
DOI:10.1016/j.cej.2022.136128
摘要
The Cu NDs/Fe 2 O 3 Mott-Schottky heterojunction promoted the electron transfer from the Cu metal to Fe 2 O 3 semiconductive. The built-in electric field from Cu to Fe 2 O 3 may improve the adsorption of O 2 and OH − , thereby enhancing the electrocatalytic activity for both oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). • The Cu NDs/Fe 2 O 3 -NPCs was developed by creating Cu NDs/Fe 2 O 3 Mott-Schottky heterojunction. • The Mott-Schottky built-in electric field from Cu to Fe 2 O 3 may improve the adsorption of O 2 /OH − . • The bifunctional oxygen electrocatalysis exhibits outstanding performance for ZABs. The fast electron transfer is a prerequisite to develop the high-performance bifunctional electrocatalysts for rechargeable Zn-air batteries (ZABs). In this work, the Mott-Schottky electrocatalyst Cu NDs/Fe 2 O 3 -NPCs was developed by creating Cu nanodots (NDs)/Fe 2 O 3 heterojunction nanoislands rooted on N-rich porous carbon nanosheets (NPCs). The formed Mott-Schottky heterojunction Cu NDs/Fe 2 O 3 nanoislands promoted the electron transfer from the metallic Cu to the semiconductive Fe 2 O 3 phase, as a result, the adsorptions towards O 2 and OH − species were improved, and sequentially the catalytic activities for both oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) were both remarkably enhanced. In addition, the porous nature of the developed catalyst also contributed to the effectiveness of the required mass transfer. The optimal Mott-Schottky Cu NDs/Fe 2 O 3 -NPCs catalyst exhibited an onset potential of 0.98 V and a Tafel slop of 53.7 mV dec -1 for ORR, and an overpotential of 328 mV at 10 mA cm −2 for OER. Further, the ZAB assembled with Cu NDs/Fe 2 O 3 -NPCs catalyst displayed a high power density of 138 mW cm −2 and an excellent long-term cyclability.
科研通智能强力驱动
Strongly Powered by AbleSci AI