• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

将结构与电催化剂性能相关联的主要描述符。

Main Descriptors To Correlate Structures with the Performances of Electrocatalysts.

作者信息

Wang Bin, Zhang Fuxiang

机构信息

State Key Laboratory of Catalysis, Dalian National Laboratory for Clean Energy, The Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457# Zhongshan Road, Dalian 116023, Liaoning, China.

Center for Advanced Materials Research, School of Materials and Chemical Engineering, Zhongyuan University of Technology, 41# Zhongyuan Road, Zhengzhou, 450007, Henan, China.

出版信息

Angew Chem Int Ed Engl. 2022 Jan 21;61(4):e202111026. doi: 10.1002/anie.202111026. Epub 2021 Oct 28.

DOI:10.1002/anie.202111026
PMID:34587345
Abstract

Traditional trial and error approaches to search for hydrogen/oxygen redox catalysts with high activity and stability are typically tedious and inefficient. There is an urgent need to identify the most important parameters that determine the catalytic performance and so enable the development of design strategies for catalysts. In the past decades, several descriptors have been developed to unravel structure-performance relationships. This Minireview summarizes reactivity descriptors in electrocatalysis including adsorption energy descriptors involving reaction intermediates, electronic descriptors represented by a d-band center, structural descriptors, and universal descriptors, and discusses their merits/limitations. Understanding the trends in electrocatalytic performance and predicting promising catalytic materials using reactivity descriptors should enable the rational construction of catalysts. Artificial intelligence and machine learning have also been adopted to discover new and advanced descriptors. Finally, linear scaling relationships are analyzed and several strategies proposed to circumvent the established scaling relationships and overcome the constraints imposed on the catalytic performance.

摘要

传统的通过反复试验来寻找具有高活性和稳定性的氢/氧氧化还原催化剂的方法通常既繁琐又低效。迫切需要确定决定催化性能的最重要参数,从而能够开发催化剂的设计策略。在过去几十年中,已经开发了几个描述符来揭示结构-性能关系。本综述总结了电催化中的反应性描述符,包括涉及反应中间体的吸附能描述符、以d带中心表示的电子描述符、结构描述符和通用描述符,并讨论了它们的优缺点。利用反应性描述符理解电催化性能趋势并预测有前景的催化材料,应该能够合理构建催化剂。人工智能和机器学习也已被用于发现新的和先进的描述符。最后,分析了线性标度关系,并提出了几种策略来规避已建立的标度关系并克服对催化性能的限制。

相似文献

1
Main Descriptors To Correlate Structures with the Performances of Electrocatalysts.将结构与电催化剂性能相关联的主要描述符。
Angew Chem Int Ed Engl. 2022 Jan 21;61(4):e202111026. doi: 10.1002/anie.202111026. Epub 2021 Oct 28.
2
Progress and Challenges Toward the Rational Design of Oxygen Electrocatalysts Based on a Descriptor Approach.基于描述符方法的氧电催化剂合理设计的进展与挑战
Adv Sci (Weinh). 2019 Nov 27;7(1):1901614. doi: 10.1002/advs.201901614. eCollection 2020 Jan.
3
Oxygen Evolution Reaction in Energy Conversion and Storage: Design Strategies Under and Beyond the Energy Scaling Relationship.能量转换与存储中的析氧反应:能量标度关系之下及之外的设计策略
Nanomicro Lett. 2022 Apr 28;14(1):112. doi: 10.1007/s40820-022-00857-x.
4
Advancing electrocatalytic reactions through mapping key intermediates to active sites descriptors.通过将关键中间体映射到活性位点描述符来推进电催化反应。
Chem Soc Rev. 2024 Jul 15;53(14):7392-7425. doi: 10.1039/d3cs01130e.
5
Mastering the D-Band Center of Iron-Series Metal-Based Electrocatalysts for Enhanced Electrocatalytic Water Splitting.掌握铁系金属基电催化剂的 D 带中心以增强电催化水分解。
Int J Mol Sci. 2022 Dec 6;23(23):15405. doi: 10.3390/ijms232315405.
6
Electronic Structure-Based Descriptors for Oxide Properties and Functions.基于电子结构的氧化物性质与功能描述符
Acc Chem Res. 2022 Feb 1;55(3):298-308. doi: 10.1021/acs.accounts.1c00509. Epub 2022 Jan 20.
7
Recent advances in developing multiscale descriptor approach for the design of oxygen redox electrocatalysts.用于氧氧化还原电催化剂设计的多尺度描述符方法开发的最新进展。
iScience. 2023 Apr 8;26(5):106624. doi: 10.1016/j.isci.2023.106624. eCollection 2023 May 19.
8
Structural Self-Reconstruction of Catalysts in Electrocatalysis.电催化中催化剂的结构自重构
Acc Chem Res. 2018 Nov 20;51(11):2968-2977. doi: 10.1021/acs.accounts.8b00449. Epub 2018 Oct 30.
9
DFT-assisted low-dimensional carbon-based electrocatalysts design and mechanism study: a review.密度泛函理论辅助的低维碳基电催化剂设计及机理研究:综述
Front Chem. 2023 Oct 17;11:1286257. doi: 10.3389/fchem.2023.1286257. eCollection 2023.
10
Developing Scaling Relationships for Molecular Electrocatalysis through Studies of Fe-Porphyrin-Catalyzed O Reduction.通过研究 Fe-卟啉催化的 O 还原反应,开发分子电催化的比例关系。
Acc Chem Res. 2020 May 19;53(5):1056-1065. doi: 10.1021/acs.accounts.0c00044. Epub 2020 Apr 13.

引用本文的文献

1
SPOCK Tool for Constructing Empirical Volcano Diagrams from Catalytic Data.用于从催化数据构建经验火山图的SPOCK工具。
ACS Catal. 2025 Apr 18;15(9):7296-7307. doi: 10.1021/acscatal.5c00412. eCollection 2025 May 2.
2
Spin effects in regulating the adsorption characteristics of metal ions.自旋在调节金属离子吸附特性中的作用
Chem Sci. 2025 Jan 8;16(5):2429-2436. doi: 10.1039/d4sc06477a. eCollection 2025 Jan 29.
3
Promoting Electrocatalytic Oxygen Reactions Using Advanced Heterostructures for Rechargeable Zinc-Air Battery Applications.
利用先进异质结构促进可充电锌空气电池应用中的电催化氧反应。
ACS Nano. 2024 Aug 20;18(33):21651-21684. doi: 10.1021/acsnano.4c02289. Epub 2024 Aug 12.
4
Material Engineering Strategies for Efficient Hydrogen Evolution Reaction Catalysts.用于高效析氢反应催化剂的材料工程策略
Small Methods. 2024 Dec;8(12):e2400158. doi: 10.1002/smtd.202400158. Epub 2024 May 15.
5
DFT-assisted low-dimensional carbon-based electrocatalysts design and mechanism study: a review.密度泛函理论辅助的低维碳基电催化剂设计及机理研究:综述
Front Chem. 2023 Oct 17;11:1286257. doi: 10.3389/fchem.2023.1286257. eCollection 2023.
6
Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction.用于析氢反应的机器学习辅助低维电催化剂设计
Nanomicro Lett. 2023 Oct 13;15(1):227. doi: 10.1007/s40820-023-01192-5.
7
Machine Learning Descriptors for Data-Driven Catalysis Study.用于数据驱动催化研究的机器学习描述符
Adv Sci (Weinh). 2023 Aug;10(22):e2301020. doi: 10.1002/advs.202301020. Epub 2023 May 16.
8
A corpus of CO electrocatalytic reduction process extracted from the scientific literature.从科学文献中提取的 CO 电催化还原过程语料库。
Sci Data. 2023 Mar 29;10(1):175. doi: 10.1038/s41597-023-02089-z.
9
A theoretical roadmap for the best oxygen reduction activity in two-dimensional transition metal tellurides.二维过渡金属碲化物中最佳氧还原活性的理论路线图。
Chem Sci. 2022 Aug 25;13(37):11048-11057. doi: 10.1039/d2sc03686j. eCollection 2022 Sep 28.