Band Gap Narrowing in a High-Entropy Spinel Oxide Semiconductor for Enhanced Oxygen Evolution Catalysis

尖晶石 氧化物 化学 带隙 过电位 催化作用 化学物理 无机化学 电负性 物理化学 材料科学 光电子学 冶金 生物化学 有机化学 电极 电化学
作者
Rowan R. Katzbaer,Francisco Marques dos Santos Vieira,Ismaïla Dabo,Zhiqiang Mao,Raymond E. Schaak
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:145 (12): 6753-6761 被引量:192
标识
DOI:10.1021/jacs.2c12887
摘要

High-entropy oxides (HEOs), which contain five or more metal cations that are generally thought to be randomly mixed in a crystalline oxide lattice, can exhibit unique and enhanced properties, including improved catalytic performance, due to synergistic effects. Here, we show that band gap narrowing emerges in a high-entropy aluminate spinel oxide, (Fe0.2Co0.2Ni0.2Cu0.2Zn0.2)Al2O4 (A5Al2O4). The 0.9 eV band gap of A5Al2O4 is narrower than the band gaps of all parent spinel oxides. First-principles calculations for multicomponent AAl2O4 spinels indicate that the band gap narrowing arises from the broadening of the energy distribution of the 3d states due to variations in the electronegativities and crystal field splitting across the 3d transition-metal series. As a catalyst for the oxygen evolution reaction in an alkaline electrolyte, A5Al2O4 reaches a current density of 10 mA/cm2 at an overpotential of 400 mV, outperforming all of the single-metal end members at an applied potential of 1.7 V vs RHE. Catalyst deactivation occurs after 5 h at 10 mA/cm2 and is attributed, based on elemental analysis and grazing-incidence X-ray diffraction, to the formation of a passivating layer that blocks the high-entropy oxide surface. This result helps to validate that the HEO is the active catalyst. The observation of band gap narrowing in A5Al2O4 expands the scope of synergistic properties exhibited by high-entropy materials and offers insight into the question of how the electronic structure of multicomponent oxide materials can be engineered via a high-entropy approach to achieve enhanced catalytic properties.
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
科研通AI6.4应助xszhang采纳,获得10
1秒前
2秒前
3秒前
不是省油的灯完成签到,获得积分10
3秒前
王金金发布了新的文献求助10
4秒前
大笨笨完成签到,获得积分0
5秒前
Ezio_sunhao完成签到,获得积分10
7秒前
8秒前
Xiaofei完成签到,获得积分10
8秒前
Jasper应助科研采纳,获得10
9秒前
简单妖妖发布了新的文献求助10
9秒前
时舒完成签到 ,获得积分10
11秒前
11秒前
junkai发布了新的文献求助10
12秒前
汉堡包应助张慢慢采纳,获得30
12秒前
13秒前
研友_ZzaKqn完成签到,获得积分0
14秒前
帅气之双完成签到 ,获得积分10
14秒前
soelo发布了新的文献求助10
15秒前
满意的伊发布了新的文献求助10
15秒前
LIN96T完成签到 ,获得积分10
16秒前
17秒前
义力古玛发布了新的文献求助10
17秒前
卜君浩发布了新的文献求助10
20秒前
感动惜珊发布了新的文献求助10
21秒前
21秒前
biiii完成签到,获得积分10
21秒前
21秒前
科研通AI6.3应助xszhang采纳,获得10
22秒前
潇洒的血茗完成签到 ,获得积分10
22秒前
Anthony完成签到,获得积分10
23秒前
先字母完成签到,获得积分10
24秒前
小满xiaoman完成签到,获得积分10
27秒前
幸福的糖豆apple完成签到,获得积分10
27秒前
qdong发布了新的文献求助10
28秒前
QXS完成签到 ,获得积分10
29秒前
281911480完成签到,获得积分10
29秒前
victory_liu完成签到,获得积分10
31秒前
32秒前
panchaoteng发布了新的文献求助10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 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 6359264
求助须知:如何正确求助?哪些是违规求助? 8173237
关于积分的说明 17213576
捐赠科研通 5414355
什么是DOI,文献DOI怎么找? 2865433
邀请新用户注册赠送积分活动 1842799
关于科研通互助平台的介绍 1690962