Dynamic Surface Chemistry of Catalysts in Oxygen Evolution Reaction.

IF 8.3 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Small Science Pub Date : 2021-05-09 eCollection Date: 2021-07-01 DOI:10.1002/smsc.202100011
Zongkui Kou, Xin Li, Lei Zhang, Wenjie Zang, Xiaorui Gao, John Wang
{"title":"Dynamic Surface Chemistry of Catalysts in Oxygen Evolution Reaction.","authors":"Zongkui Kou, Xin Li, Lei Zhang, Wenjie Zang, Xiaorui Gao, John Wang","doi":"10.1002/smsc.202100011","DOIUrl":null,"url":null,"abstract":"<p><p>Electrocatalytic oxygen evolution reaction (OER) is a crucial anode reaction where electrocatalysts are the key elements and their dynamic surface chemistry runs throughout the entire process. Herein, we examine the latest advances and challenges in understanding of the dynamic surface chemistry of OER electrocatalysts. There are electrochemical origin and driving force for the dynamic surface nature, where several processes can take place either concurrently or sequentially, including reconstruction (i.e., phase formation/transformation, morphological change, and compositional change), vacancy generation and filling/refilling, and the intermediate adsorption-desorption process on catalytic surface. These dynamic surface processes of OER catalysts are impacted by not only the reaction and service conditions, including the (local) pH and its gradient distribution, applied potential, types and concentration of exotic ions and external fields on top of the nature of catalysts/precatalysts, but also their interactions. Due to the local, time-dependent and instant nature, there are considerable challenges in tracing, modelling and understanding of the complete dynamic surface chemistry of catalysts in OER, by means of ex situ, in situ and operando experimental investigations. Therefore, computational studies and dynamic simulations help provide key insights in future pursuits, where there is critical need for a multiscale computational modelling approach encompassing all these aspects.</p>","PeriodicalId":29791,"journal":{"name":"Small Science","volume":"1 1","pages":"2100011"},"PeriodicalIF":8.3000,"publicationDate":"2021-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936064/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/smsc.202100011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/7/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Electrocatalytic oxygen evolution reaction (OER) is a crucial anode reaction where electrocatalysts are the key elements and their dynamic surface chemistry runs throughout the entire process. Herein, we examine the latest advances and challenges in understanding of the dynamic surface chemistry of OER electrocatalysts. There are electrochemical origin and driving force for the dynamic surface nature, where several processes can take place either concurrently or sequentially, including reconstruction (i.e., phase formation/transformation, morphological change, and compositional change), vacancy generation and filling/refilling, and the intermediate adsorption-desorption process on catalytic surface. These dynamic surface processes of OER catalysts are impacted by not only the reaction and service conditions, including the (local) pH and its gradient distribution, applied potential, types and concentration of exotic ions and external fields on top of the nature of catalysts/precatalysts, but also their interactions. Due to the local, time-dependent and instant nature, there are considerable challenges in tracing, modelling and understanding of the complete dynamic surface chemistry of catalysts in OER, by means of ex situ, in situ and operando experimental investigations. Therefore, computational studies and dynamic simulations help provide key insights in future pursuits, where there is critical need for a multiscale computational modelling approach encompassing all these aspects.

析氧反应中催化剂的动态表面化学
(即吸附/解吸、扩散和反应)。DFT和MD模拟能够确定这些过程的速率常数以及限速反应步骤、电荷输运和覆盖依赖性。最后,SSM方法可以用于模拟电化学数据,可以直接与实验进行比较。SSM的输入由前面提到的其他级别的方法计算。利用适当的实验数据优化程序,可以优化输入数据并确定动力学参数。然后,通过与不同工况下实测实验数据的匹配,进行验证与验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
14.00
自引率
2.40%
发文量
0
期刊介绍: Small Science is a premium multidisciplinary open access journal dedicated to publishing impactful research from all areas of nanoscience and nanotechnology. It features interdisciplinary original research and focused review articles on relevant topics. The journal covers design, characterization, mechanism, technology, and application of micro-/nanoscale structures and systems in various fields including physics, chemistry, materials science, engineering, environmental science, life science, biology, and medicine. It welcomes innovative interdisciplinary research and its readership includes professionals from academia and industry in fields such as chemistry, physics, materials science, biology, engineering, and environmental and analytical science. Small Science is indexed and abstracted in CAS, DOAJ, Clarivate Analytics, ProQuest Central, Publicly Available Content Database, Science Database, SCOPUS, and Web of Science.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信