Copper-doped ruthenium oxide as highly efficient electrocatalysts for the evolution of oxygen in acidic media

过电位 析氧 塔菲尔方程 煅烧 催化作用 电催化剂 贵金属 氧化钌 化学 电解质 氧化物 材料科学 化学工程 电化学 无机化学 物理化学 冶金 电极 工程类 生物化学
作者
Yuanyuan Feng,Si Si,Gao Deng,Zixiang Xu,Zhao Pu,Huashuai Hu,Chong‐Bin Wang
出处
期刊:Journal of Alloys and Compounds [Elsevier BV]
卷期号:892: 162113-162113 被引量:33
标识
DOI:10.1016/j.jallcom.2021.162113
摘要

The development of highly active and acid-stable catalysts for oxygen evolution reaction (OER) is necessary and challenging. In this work, we report a highly efficient Cu-doped RuO2 OER electrocatalyst (Cu-RuO2) synthesized via one-step calcination of amorphous RuCu sample in air atmosphere. Results show that the catalytic performances of Cu-RuO2 catalysts toward OER are strongly dependent on the calcination temperature. Among the series of Cu-RuO2 catalysts, Cu-RuO2 prepared at the calcination temperature of 300 °C (Cu-RuO2-300) exhibits the highest activity for OER. At the current density of 10 mA cm−2, Cu-RuO2-300 shows an extremely low OER overpotential of 201 mV, which is much lower than the benchmark commercial RuO2 (233 mV) and most noble metal/non-noble metal catalysts reported in literature. The Tafel slope is as low as 55 mV dec−1, which is also lower than that on RuO2 catalyst (76 mV dec−1), suggesting a faster OER kinetics. In addition, Cu-RuO2-300 can maintain excellent durability in H2SO4 electrolyte. During the chronopotentiometric (CP) test, the potential of Cu-RuO2-300 catalyst shows very small attenuation (65 mV) at the time of 24 h whereas that of the reference RuO2 catalyst exhibits a 127 mV of change only within 4 h of test. Large electrochemical surface area and abundant exposed high-index facets are responsible for the high catalytic performances of the Cu-RuO2-300 catalyst. This work is instructive for the design and preparation of highly efficient and stable noble metal-based OER catalysts in acidic media.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
怜熙完成签到,获得积分10
刚刚
1秒前
Shiku发布了新的文献求助10
1秒前
噬菌体仙人完成签到,获得积分10
3秒前
英俊的铭应助五五乐采纳,获得10
4秒前
andy发布了新的文献求助10
4秒前
5秒前
6秒前
7秒前
TianY天翊发布了新的文献求助10
7秒前
9秒前
Murphy发布了新的文献求助10
9秒前
朱大头完成签到,获得积分10
10秒前
科研通AI5应助怡然芷蝶采纳,获得10
10秒前
李富贵发布了新的文献求助10
10秒前
粥粥发布了新的文献求助30
11秒前
半岛铁盒完成签到,获得积分10
11秒前
晴梓完成签到 ,获得积分10
12秒前
韩十四完成签到,获得积分10
12秒前
12秒前
小二郎应助独特的魔镜采纳,获得10
13秒前
15秒前
Akim应助TianY天翊采纳,获得10
15秒前
15秒前
baozibaozi完成签到,获得积分10
17秒前
赘婿应助andy采纳,获得10
17秒前
18秒前
英姑应助mario采纳,获得10
19秒前
小马甲应助37927采纳,获得10
19秒前
脑洞疼应助新火新茶采纳,获得10
21秒前
22秒前
曾无忧发布了新的文献求助10
22秒前
怕黑半仙完成签到 ,获得积分10
23秒前
23秒前
慕青应助别喊我起床采纳,获得10
24秒前
科研通AI5应助北海道采纳,获得30
24秒前
stg完成签到 ,获得积分10
24秒前
12完成签到,获得积分10
25秒前
璃茉完成签到,获得积分20
25秒前
26秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3732692
求助须知:如何正确求助?哪些是违规求助? 3276827
关于积分的说明 9999066
捐赠科研通 2992492
什么是DOI,文献DOI怎么找? 1642273
邀请新用户注册赠送积分活动 780263
科研通“疑难数据库(出版商)”最低求助积分说明 748720