Single Atoms and Clusters Based Nanomaterials for Hydrogen Evolution, Oxygen Evolution Reactions, and Full Water Splitting

析氧 分解水 材料科学 纳米材料 氧气 化学物理 纳米技术 催化作用 物理化学 化学 电极 电化学 光催化 有机化学
作者
Siraj Sultan,Jitendra N. Tiwari,Aditya Narayan Singh,Shynggys Zhumagali,Miran Ha,Chang Woo Myung,Pandiarajan Thangavel,Kwang S. Kim
出处
期刊:Advanced Energy Materials [Wiley]
卷期号:9 (22) 被引量:743
标识
DOI:10.1002/aenm.201900624
摘要

Abstract The sustainable and scalable production of hydrogen through hydrogen evolution reaction (HER) and oxygen through oxygen evolution reaction (OER) in water splitting demands efficient and robust electrocatalysts. Currently, state‐of‐the‐art electrocatalysts of Pt and IrO 2 /RuO 2 exhibit the benchmark catalytic activity toward HER and OER, respectively. However, expanding their practical application is hindered by their exorbitant price and scarcity. Therefore, the development of alternative effective electrocatalysts for water splitting is crucial. In the last few decades, substantial effort has been devoted to the development of alternative HER/OER and water splitting catalysts based on various transition metals (including Fe, Co, Ni, Mo, and atomic Pt) which show promising catalytic activities and durability. In this review, after a brief introduction and basic mechanism of HER/OER, the authors systematically discuss the recent progress in design, synthesis, and application of single atom and cluster‐based HER/OER and water splitting catalysts. Moreover, the crucial factors that can tune the activity of catalysts toward HER/OER and water splitting such as morphology, crystal defects, hybridization of metals with nonmetals, heteroatom doping, alloying, and formation of metals inside graphitic layered materials are discussed. Finally, the existing challenges and future perspectives for improving the performance of electrocatalysts for water splitting are addressed.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
量子星尘发布了新的文献求助10
1秒前
心信鑫发布了新的文献求助10
2秒前
xia发布了新的文献求助10
2秒前
打打应助路路采纳,获得10
2秒前
小溪发布了新的文献求助10
3秒前
柚子加冰发布了新的文献求助20
3秒前
3秒前
ebby发布了新的文献求助10
3秒前
4秒前
SHUI发布了新的文献求助10
4秒前
milos完成签到,获得积分10
4秒前
5秒前
酷波er应助璩qu采纳,获得10
7秒前
李健的小迷弟应助YAOHA采纳,获得10
7秒前
顾矜应助辣姜采纳,获得10
9秒前
吴彦祖完成签到,获得积分10
9秒前
9秒前
10秒前
冷暖发布了新的文献求助10
10秒前
11秒前
11秒前
暮雨完成签到,获得积分10
13秒前
SciGPT应助ebby采纳,获得10
14秒前
nyyyyyy完成签到,获得积分10
14秒前
默客发布了新的文献求助10
14秒前
ChaiHaobo完成签到,获得积分10
16秒前
暮雨发布了新的文献求助10
16秒前
量子星尘发布了新的文献求助10
16秒前
16秒前
方班术完成签到,获得积分10
18秒前
谢文强完成签到,获得积分10
20秒前
20秒前
liyang完成签到,获得积分10
20秒前
方班术发布了新的文献求助10
20秒前
科研通AI6应助默客采纳,获得10
20秒前
超大杯冰摇红莓黑加仑茶完成签到,获得积分10
21秒前
星海妖魂完成签到,获得积分10
21秒前
科研通AI6应助ChaiHaobo采纳,获得10
21秒前
21秒前
21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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469534
求助须知:如何正确求助?哪些是违规求助? 4572619
关于积分的说明 14336346
捐赠科研通 4499426
什么是DOI,文献DOI怎么找? 2465098
邀请新用户注册赠送积分活动 1453599
关于科研通互助平台的介绍 1428091