Atomic regulation strategies of dual-metal single-atom catalytic sites supported on 3D N-doped carbon nanotube aerogels for boosting oxygen reduction and zinc-air battery

化学 催化作用 热解 碳纳米管 兴奋剂 氧还原反应 化学工程 纳米技术 电池(电) 氧气 电极 电化学 材料科学 有机化学 物理化学 光电子学 功率(物理) 工程类 物理 量子力学
作者
Lingling Liu,Muhammad Zia Ul Haq,Lu Zhang,Jiu‐Ju Feng,Liang Wu,Ai‐Jun Wang
出处
期刊:Journal of Electroanalytical Chemistry [Elsevier BV]
卷期号:951: 117953-117953 被引量:1
标识
DOI:10.1016/j.jelechem.2023.117953
摘要

Dual-metal single-atom catalysts (DSAs) exhibit excellent electrocatalytic properties, holding great promise in energy conversion and storage fields. Their rational design and synthesis are realized by optimizing the types of supporting substrate or regulating the coordination microenvironment. Herein, FeCo DSAs supported on N-doped carbon nanotube aerogels (FeCo DSAs/N-CNAs) were facilely fabricated by a glucose-assisted atomic regulation pyrolysis approach. The morphology and structure were characterized by a series of techniques. The influences of the pyrolysis temperature and types of the metal precursors were carefully investigated, coupled by discussing the formation mechanism. The resulting FeCo DSAs/N-CNAs catalyst shows a positive onset potential (Eonset = 1.075 V) and half-wave potential (E1/2 = 0.907 V) for oxygen reduction reaction (ORR) in a 0.1 M KOH solution, outperforming those of commercial Pt/C. The obtained catalyst is further exploited for establishing rechargeable Zn-air batteries, which shows a larger peak power density of 86.7 mW cm−2 and a longer cycle stability over 144 h. These findings identify low-cost FeCo DSAs/N-CNAs as promising electrocatalysts for advanced rechargeable Zn-air batteries.

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
刚刚
1秒前
1秒前
jiangsi发布了新的文献求助10
1秒前
丽丽发布了新的文献求助10
1秒前
AN发布了新的文献求助30
2秒前
ddk发布了新的文献求助10
2秒前
3秒前
3秒前
李健的小迷弟应助Evander采纳,获得10
3秒前
天天快乐应助zht采纳,获得10
4秒前
qiqiqi发布了新的文献求助10
4秒前
稳重墨镜完成签到,获得积分10
5秒前
小丸子完成签到,获得积分10
5秒前
6秒前
7秒前
ddk完成签到,获得积分10
8秒前
8秒前
淡蓝色发布了新的文献求助10
8秒前
华仔应助重要问丝采纳,获得10
10秒前
10秒前
Tanyang完成签到 ,获得积分10
10秒前
君子儒完成签到,获得积分10
11秒前
11秒前
ren完成签到 ,获得积分10
12秒前
核桃应助知行合一采纳,获得50
13秒前
隐形曼青应助wzc采纳,获得10
13秒前
海背秋山完成签到,获得积分10
14秒前
Earthwalker发布了新的文献求助10
15秒前
搜集达人应助小美美采纳,获得30
16秒前
葛蓉发布了新的文献求助30
16秒前
斯文凝蕊发布了新的文献求助10
17秒前
18秒前
略略略发布了新的文献求助10
18秒前
19秒前
19秒前
ufofly730完成签到 ,获得积分10
20秒前
20秒前
JamesPei应助ww采纳,获得10
20秒前
共享精神应助tao采纳,获得10
21秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492768
求助须知:如何正确求助?哪些是违规求助? 8290294
关于积分的说明 17690743
捐赠科研通 5584744
什么是DOI,文献DOI怎么找? 2915445
邀请新用户注册赠送积分活动 1892541
关于科研通互助平台的介绍 1750782