Composition-Controlled PtCo Alloy Nanocubes with Tuned Electrocatalytic Activity for Oxygen Reduction

材料科学 纳米材料基催化剂 电催化剂 合金 X射线光电子能谱 电化学 化学工程 氧还原 密度泛函理论 氧气 纳米技术 电极 物理化学 纳米颗粒 冶金 化学 有机化学 计算化学 工程类
作者
Sang‐Il Choi,Su‐Un Lee,Woo Youn Kim,Ran Choi,Kwangwoo Hong,Ki Min Nam,Sang Woo Han,Joon T. Park
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:4 (11): 6228-6234 被引量:107
标识
DOI:10.1021/am301824w
摘要

Modification of the electronic structure and lattice contraction of Pt alloy nanocatalysts through control over their morphology and composition has been a crucial issue for improving their electrocatalytic oxygen reduction reaction (ORR) activity. In the present work, we synthesized PtCo alloy nanocubes with controlled compositions (Pt(x)Co NCs, x = 2, 3, 5, 7, and 9) by regulating the ratio of surfactants and the amount of Co precursor to elucidate the effect of the composition of nanocatalysts on their ORR activity. Pt(x)Co NCs had a Pt-skin structure after electrochemical treatment. The electrocatalysis experiments revealed a strong correlation between ORR activity and Co composition. Pt₃Co NCs exhibited the best ORR performance among the various Pt(x)Co NCs. From density functional theory calculations, a typical volcano-type relationship was established between ORR activity and oxygen binding energy (E(OB)) on NC surfaces, which showed that Pt₃Co NCs had the optimal E(OB) to achieve the maximum ORR activity. X-ray photoelectron spectroscopy and X-ray diffraction measurements demonstrated that the electronic structure and lattice contraction of the Pt(x)Co NCs could be tuned by controlling the composition of NCs, which are highly correlated with the trends of E(OB) change.

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
tian发布了新的文献求助10
刚刚
大萌完成签到,获得积分10
1秒前
zjj发布了新的文献求助10
1秒前
科研通AI2S应助甜甜采纳,获得10
1秒前
2秒前
2秒前
3秒前
马晓慧发布了新的文献求助10
3秒前
初景发布了新的文献求助10
3秒前
酒笙完成签到,获得积分10
4秒前
大萌发布了新的文献求助10
4秒前
枫叶53发布了新的文献求助10
4秒前
TT发布了新的文献求助10
5秒前
6秒前
6秒前
7秒前
早点睡吧完成签到,获得积分10
8秒前
8秒前
shuo0976完成签到,获得积分10
9秒前
9秒前
酷波er应助1111111采纳,获得10
9秒前
suorata发布了新的文献求助10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
慕青应助科研通管家采纳,获得10
9秒前
英姑应助科研通管家采纳,获得30
9秒前
吴新发布了新的文献求助10
9秒前
浮游应助科研通管家采纳,获得10
9秒前
顾矜应助科研通管家采纳,获得10
9秒前
9秒前
爆米花应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
10秒前
斯文败类应助科研通管家采纳,获得10
10秒前
脑洞疼应助科研通管家采纳,获得10
10秒前
顾矜应助科研通管家采纳,获得30
10秒前
10秒前
10秒前
天天快乐应助顺心一凤采纳,获得10
11秒前
11秒前
嘉娇叶发布了新的文献求助10
12秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 450
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6727077
求助须知:如何正确求助?哪些是违规求助? 8462164
关于积分的说明 18063266
捐赠科研通 5983286
什么是DOI,文献DOI怎么找? 2998305
邀请新用户注册赠送积分活动 1974707
关于科研通互助平台的介绍 1930889