Abstract

Rational design efficient transition metal-based electrocatalysts for oxygen evolution reaction (OER) is critical for water splitting. However, industrial water-alkali electrolysis requires large current densities at low overpotentials, always limited by intrinsic activity. Herein, we report hierarchical bimetal nitride/hydroxide (NiMoN/NiFe LDH) array as model catalyst, regulating the electronic states and tracking the relationship of structure-activity. As-activated NiMoN/NiFe LDH exhibits the industrially required current density of 1000 mA cm−2 at overpotential of 266 mV with 250 h stability for OER. Especially, in-situ electrochemical spectroscopic reveals that heterointerface facilitates dynamic structure evolution to optimize electronic structure. Operando electrochemical impedance spectroscopy implies accelerated OER kinetics and intermediate evolution due to fast charge transport. The OER mechanism is revealed by the combination of theoretical and experimental studies, indicating as-activated NiMoN/NiFe LDH follows lattice oxygen oxidation mechanism with accelerated kinetics. This work paves an avenue to develop efficient catalysts for industrial water electrolysis via tuning electronic states.

Rational design of efficient electrocatalysts for oxygen evolution reaction is critical for water-alkali electrolysis. Here, the authors fabricate a NiMoN/NiFe layered double hydroxide and show the accelerated oxygen evolution kinetics are due to the heterointerface.

Details

Title
Regulating electronic states of nitride/hydroxide to accelerate kinetics for oxygen evolution at large current density
Author
Zhai, Panlong 1 ; Wang, Chen 1 ; Zhao, Yuanyuan 2 ; Zhang, Yanxue 2 ; Gao, Junfeng 2   VIAFID ORCID Logo  ; Sun, Licheng 3 ; Hou, Jungang 1   VIAFID ORCID Logo 

 Dalian University of Technology, State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, School of Chemical Engineering, Dalian, P. R. China (GRID:grid.30055.33) (ISNI:0000 0000 9247 7930) 
 Dalian University of Technology, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian, P. R. China (GRID:grid.30055.33) (ISNI:0000 0000 9247 7930) 
 Westlake University, Center of Artificial Photosynthesis for Solar Fuels and Department of Chemistry, School of Science, Hangzhou, P. R. China (GRID:grid.494629.4) (ISNI:0000 0004 8008 9315); Biotechnology and Health KTH Royal Institute of Technology, Department of Chemistry, School of Engineering Science in Chemical, Stockholm, Sweden (GRID:grid.5037.1) (ISNI:0000000121581746) 
Pages
1873
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2795095414
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.