Open AccessDefect evolution of hierarchical SnO2 aggregates for boosting CO2 electrocatalytic reduction
Author(s) -
Xueying Cao,
Bari Wulan,
Baohua Zhang,
Dongxing Tan,
Jintao Zhang
Publication year - 2021
Publication title -
journal of materials chemistry a
Language(s) - English
Resource type - Journals
eISSN - 2050-7488
pISSN - 2050-7496
DOI - 10.1039/d1ta03530d
Subject(s) - boosting (machine learning) , oxygen reduction , tin oxide , reduction (mathematics) , materials science , tin , oxide , oxygen evolution , nanotechnology , chemistry , chemical engineering , electrochemistry , electrode , computer science , metallurgy , engineering , machine learning , mathematics , geometry
The defect evolution enables the regulation of oxygen vacancies and interfacial chemistry of hierarchical tin oxide aggregates for boosting CO 2 electrocatalytic reduction.
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