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首页|期刊导航|电化学|ORR催化剂Nim@Pt1Aun-m-1(n=19,38,55,79;m=1,6,13,19)的密度泛函研究

ORR催化剂Nim@Pt1Aun-m-1(n=19,38,55,79;m=1,6,13,19)的密度泛函研究

李文杰 田东旭 杜红 燕希强

电化学2021,Vol.27Issue(4):357-365,9.
电化学2021,Vol.27Issue(4):357-365,9.DOI:10.13208/j.electrochem.210329

ORR催化剂Nim@Pt1Aun-m-1(n=19,38,55,79;m=1,6,13,19)的密度泛函研究

DFT Study of Nim@Pt1Aun-m-1 (n=19,38,55,79;m =1,6,13,19)Core-Shell ORR Catalyst

李文杰 1田东旭 1杜红 1燕希强2

作者信息

  • 1. 大连理工大学化工学院,精细化工国家重点实验室,辽宁大连116024
  • 2. 佛山(云浮)氢能产业与新材料发展研究院,广东省氢能技术重点实验室,广东佛山528000
  • 折叠

摘要

Abstract

The slow kinetics of oxygen reduction reaction (ORR) limits the performance of low temperature fuel cells.Thus,it needs to design effective catalysts with low cost.Core-shell clusters (CSNCs) show promising activity because of their size-depen-dent geometric and electronic effects.The ORR activity trend of Nim@Pt1Aun-m-1(n =19,38,55,79;m =1,6,13,19) was studied using the GGA-PBE-PAW methods.The adsorption configurations of *O,*OH and *OOH were optimized and the reaction free energies of four proton electron (H+ + e-) transfer steps were calculated.Using overpotential as a descriptor for the catalytic activity,Ni6@Pt1Au31 was found to be the most active ORR catalyst.Ni1@Pt1Au17,Ni13@Pt1Au41,and Ni19@Pt1Au59 had better activity than pure Pt clusters and Pt(111).Bader charge and DOS data indicate that the single Pt atom embedded on Nim@Aun-m can tune the electronic property of active site,and thus,significantly improve the activity.The present study showed that the single Pt atom embedded on Nim@Aun-m is a rational strategy to design effective core-shell ORR catalysts.

关键词

核壳金属团簇/氧还原反应/密度泛函理论/超电势/单原子催化

Key words

core-shell metal clusters/oxygen reduction reaction/density functional theory/overpotential/single atom catalysis

引用本文复制引用

李文杰,田东旭,杜红,燕希强..ORR催化剂Nim@Pt1Aun-m-1(n=19,38,55,79;m=1,6,13,19)的密度泛函研究[J].电化学,2021,27(4):357-365,9.

基金项目

This work was supported by "the Fundamental Re-search Funds for the Central Universities"(DUT20ZD208) and Guangdong Key Laboratory for Hydrogen Energy Technologies (2018B030322005).The authors acknowledge the Supercomputer Center of Dalian University of Technology for providing computing resources. (DUT20ZD208)

电化学

OA北大核心CSCDCSTPCD

1006-3471

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