Boosting electrocatalytic performance via electronic structure regulation for acidic oxygen evolution

Boosting(机器学习) 化学 电催化剂 析氧 纳米技术 材料科学 电化学 计算机科学 人工智能 电极 物理化学
作者
Qian Wu,Gao Qingping,Wang Xingpeng,Yuping Qi,Li Shen,Xi–Shi Tai,Fan Yang,Xun He,Yan Wang,Yongchao Yao,Yuchun Ren,Yonglan Luo,Shengjun Sun,Dongdong Zheng,Qian Liu,Sulaiman Alfaifi,Xuping Sun,Bo Tang
出处
期刊:iScience [Cell Press]
卷期号:27 (1): 108738-108738 被引量:38
标识
DOI:10.1016/j.isci.2023.108738
摘要

High-purity hydrogen produced by water electrolysis has become a sustainable energy carrier. Due to the corrosive environments and strong oxidizing working conditions, the main challenge faced by acidic water oxidation is the decrease in the activity and stability of anodic electrocatalysts. To address this issue, efficient strategies have been developed to design electrocatalysts toward acidic OER with excellent intrinsic performance. Electronic structure modification achieved through defect engineering, doping, alloying, atomic arrangement, surface reconstruction, and constructing metal-support interactions provides an effective means to boost OER. Based on introducing OER mechanism commonly present in acidic environments, this review comprehensively summarizes the effective strategies for regulating the electronic structure to boost the activity and stability of catalytic materials. Finally, several promising research directions are discussed to inspire the design and synthesis of high-performance acidic OER electrocatalysts.
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
嘿哈哈完成签到,获得积分10
1秒前
科研通AI6.2应助小昼采纳,获得10
1秒前
潇洒雁风完成签到,获得积分10
1秒前
稚双完成签到,获得积分10
1秒前
温暖书琴发布了新的文献求助10
1秒前
苏辰完成签到,获得积分10
1秒前
vikonk发布了新的文献求助10
2秒前
Xhnz发布了新的文献求助10
2秒前
852应助阔达代云采纳,获得30
3秒前
田様应助Dawn采纳,获得10
3秒前
Shabby0-0完成签到,获得积分10
5秒前
羲和完成签到,获得积分20
5秒前
6秒前
AllRightReserved应助韦德德采纳,获得10
6秒前
6秒前
小蘑菇应助紫津采纳,获得10
7秒前
7秒前
7秒前
笨笨衫发布了新的文献求助10
7秒前
风趣的煎蛋完成签到,获得积分10
7秒前
cuican完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
9秒前
11秒前
JamesPei应助科研通管家采纳,获得10
11秒前
深情安青应助科研通管家采纳,获得10
11秒前
华仔应助科研通管家采纳,获得10
11秒前
科研通AI2S应助科研通管家采纳,获得10
11秒前
CipherSage应助科研通管家采纳,获得10
11秒前
11秒前
小马甲应助科研通管家采纳,获得10
11秒前
Hello应助科研通管家采纳,获得10
11秒前
英俊的铭应助科研通管家采纳,获得10
11秒前
香蕉觅云应助科研通管家采纳,获得10
11秒前
YWY应助科研通管家采纳,获得10
11秒前
cdercder应助科研通管家采纳,获得10
12秒前
汉堡包应助科研通管家采纳,获得30
12秒前
12秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 6669409
求助须知:如何正确求助?哪些是违规求助? 8418146
关于积分的说明 17995214
捐赠科研通 5878597
什么是DOI,文献DOI怎么找? 2977210
邀请新用户注册赠送积分活动 1953093
关于科研通互助平台的介绍 1881738