How does the heteroatoms doping regulate the oxygen electrocatalysis performance of single atom catalysts?

被引:0
|
作者
Xie, Kun [1 ]
Lin, Long [1 ,2 ]
Wang, Pengtao [1 ]
Shi, Pei [1 ]
Huang, Weiguang [2 ]
Guo, Xiangyu [3 ]
Zhang, Shengli [4 ]
He, Chaozheng [5 ,6 ]
Frauenheim, Thomas [3 ]
机构
[1] Henan Polytech Univ, Sch Mat Sci & Engn, Henan Key Lab Mat Deep Earth Engn, Jiaozuo 454000, Henan, Peoples R China
[2] Henan Polytech Univ, Sch Math & Informat, Jiaozuo 454003, Henan, Peoples R China
[3] Constructor Univ, Sch Sci, D-28759 Bremen, Germany
[4] Nanjing Univ Sci & Technol, Coll Mat Sci & Engn, MIIT Key Lab Adv Display Mat & Devices, Minist Ind & Informat Technol, Nanjing 210094, Peoples R China
[5] Xian Technol Univ, Inst Environm & Energy Catalysis, Sch Mat Sci & Chem Engn, Xian 710021, Peoples R China
[6] Xian Technol Univ, Sch Mat Sci & Chem Engn, Shaanxi Key Lab Optoelect Funct Mat & Devices, Xian 710021, Peoples R China
来源
MOLECULAR CATALYSIS | 2025年 / 574卷
关键词
Oxygen evolution reaction; Single-atom catalysts; Density-functional theory; Machine learning; TOTAL-ENERGY CALCULATIONS; NITROGEN-DOPED GRAPHENE; FE-N-C; FUEL-CELL; REDUCTION; WATER; APPROXIMATION; ELECTROLYSIS; EFFICIENCY; EVOLUTION;
D O I
10.1016/j.mcat.2025.114836
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Single-atom catalysts (SACs) with explicit metal-nitrogen-carbon moieties have attracted extensive attention over the past decade. Yet, understanding their catalytic origin toward the oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) remains a great task due to the complicated coordination environment surrounding the active center. Here, we employed large scale density functional theory computations to examine the OER/ORR performance on 144 heteroatom-doped SACs (X-TMN4@Gra, TM=Fe, Co, Ni, Cu, Rh, Ir, X = B, N, O, P, S). Computational results unveiled the significant role of heteroatom doping in affecting the local electronic properties of TM centers and their catalytic activity, even leading to the transition of potential limiting steps. Machine learning (ML) enabled to delve deeper into the correlation between atomic characteristics and catalytic activity, suggesting that Delta GOOH* and Delta GO*-OH* can serve as vital descriptors for anticipating ORR and OER performance, respectively. These revelations not only elucidate the catalytic discrepancy of reported SACs but provide a rational way to optimize secondary coordination of SACs, thus paving new opportunities to discover the high-performance electrocatalysts.
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页数:10
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