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High-efficiency CO2conversion via mechano-driven dynamic strain engineering of ZnO nanostructures

Authors :
Ma, Jiangping
Xia, Lu
Wu, Di
Feng, Yajie
Ban, Chaogang
Ruan, Lujie
Guan, Jingfei
Zhang, Min
Zhou, Rundong
Dai, Ji-Yan
Gan, Li-Yong
Zhou, Xiaoyuan
Source :
Nano Energy; March 2024, Vol. 121 Issue: 1
Publication Year :
2024

Abstract

Strain engineering involves intentionally inducing lattice distortion in materials to manipulate their electronic and geometric properties, along with the accompanying bond strength between reactants and catalysts. This approach presents an appealing pathway to optimize catalytic performance. However, it confronts challenges in achieving precise control, scalability and controllable modulation of intermediate species’ adsorption and desorption. Herein, we report a dynamic strain engineering method achieved through ultrasonic cavitation-induced high and low-pressure cycles, enabling periodically adjustable adsorption/desorption properties while bypassing complex synthesis procedures. Illustrated using ZnO and CO2piezo-reduction reaction as a demonstration, theoretical studies initially predict that adsorption of intermediates *COOH can be regulated within a specific range of strains. Under ultrasonic stimulation, ZnO catalyst with dynamic strain engineering exhibits a CO yield of ∼ 98.8 μmol·g−1·h−1, approximately 16.5 times higher than that achieved under ultraviolet light irradiation without dynamic strain engineering, despite the latter having a considerably stronger input power. Furthermore, we delve into the factors linked to dynamic strain amplitude and frequency. This dynamic strain engineering approach streamlines catalyst preparation and presents innovative possibilities for controlled manipulation of intermediate specie’s adsorption/desorption, with potential applications across a wide range of catalytic systems.

Details

Language :
English
ISSN :
22112855
Volume :
121
Issue :
1
Database :
Supplemental Index
Journal :
Nano Energy
Publication Type :
Periodical
Accession number :
ejs65119083
Full Text :
https://doi.org/10.1016/j.nanoen.2024.109258