Research progress in improving the oxygen evolution reaction by adjusting the 3d electronic structure of transition metal catalysts

分解水 催化作用 过渡金属 电解水 制氢 材料科学 贵金属 析氧 电解 纳米技术 化学工程 化学 电化学 光催化 物理化学 电极 生物化学 工程类 电解质
作者
Haiyang Chang,Zhijian Liang,Lei Wang,Cheng Wang
出处
期刊:Nanoscale [Royal Society of Chemistry]
卷期号:14 (15): 5639-5656 被引量:52
标识
DOI:10.1039/d2nr00522k
摘要

As a clean and renewable energy carrier, hydrogen (H2) has become an attractive alternative to dwindling fossil fuels. The key to realizing hydrogen-based energy systems is to develop efficient and economical hydrogen production methods. The water electrolysis technique has the advantages of cleanliness, sustainability, and high efficiency, which can be applied to large-scale hydrogen production. However, the electrocatalytic oxygen evolution reaction (OER) at the anode plays a decisive role in the efficiency of hydrogen evolution during water splitting. Generally, noble metal catalysts (such as ruthenium and iridium) are considered to exhibit the best OER performance; however, they exhibit disadvantages such as high costs, limited reserves, and poor stability. Therefore, the research on highly efficient non-noble metal catalysts that can replace their noble metal counterparts has always been important. This review presents the recent advances in the preparation of high-performance OER electrocatalysts by regulating the electronic structure of 3d transition metals. First, we introduce the reaction mechanism of water splitting and the OER, which reveals the high requirement of the complex four-electron process of the OER. Second, the electron transfer mode and development progress of highly active transition metal electrocatalysts are used to summarize the research situation of transition metal OER catalysts in water splitting. Finally, the future development direction and challenges of transition metal catalysts are prospected based on the current research progress.
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
愉快依白完成签到,获得积分20
刚刚
科研通AI6.4应助露珠采纳,获得10
刚刚
刚刚
1秒前
1秒前
热情败发布了新的文献求助10
1秒前
柳贯一发布了新的文献求助10
1秒前
无何化有发布了新的文献求助10
2秒前
3秒前
通行证发布了新的文献求助10
3秒前
4秒前
大力魂幽完成签到,获得积分10
5秒前
5秒前
lzl17o8发布了新的文献求助20
5秒前
zjc发布了新的文献求助10
5秒前
研友_nxwN7L完成签到,获得积分10
5秒前
7秒前
汉堡包应助乘风采纳,获得10
7秒前
Simpler发布了新的文献求助10
8秒前
gx完成签到,获得积分10
8秒前
ymj完成签到,获得积分10
9秒前
114514发布了新的文献求助10
9秒前
9秒前
吴衡完成签到,获得积分20
9秒前
Nole应助大力魂幽采纳,获得10
9秒前
科研菜鸟望毕业完成签到,获得积分10
10秒前
10秒前
李健的粉丝团团长应助edge采纳,获得10
11秒前
jyh完成签到 ,获得积分10
11秒前
Hello应助碧海琴天Candyship采纳,获得10
11秒前
manying发布了新的文献求助10
12秒前
回火青年完成签到 ,获得积分10
13秒前
bdJ发布了新的文献求助10
13秒前
Lucas应助甜甜圈采纳,获得10
13秒前
111发布了新的文献求助10
14秒前
14秒前
14秒前
linliqing完成签到,获得积分10
14秒前
Judith发布了新的文献求助10
15秒前
科研通AI6.4应助SLJK采纳,获得10
17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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7636785
求助须知:如何正确求助?哪些是违规求助? 9210552
关于积分的说明 19756125
捐赠科研通 7204274
什么是DOI,文献DOI怎么找? 3275534
关于科研通互助平台的介绍 2437291
邀请新用户注册赠送积分活动 2272660