Hierarchical NiO@N-doped carbon microspheres with ultrathin nanosheet subunits as excellent photocatalysts for hydrogen evolution

Autor: Xiguang Han, Wenwen Zhan, Yusheng Yuan, Yanli Zhao, Liming Sun, Yaya Yuan
Přispěvatelé: School of Physical and Mathematical Sciences
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Popis: Achieving highly efficient hierarchical photocatalysts for hydrogen evolution is always challenging. Herein, hierarchical mesoporous NiO@N-doped carbon microspheres (HNINC) are successfully fabricated with ultrathin nanosheet subunits as high-performance photocatalysts for hydrogen evolution. The unique architecture of N-doped carbon layers and hierarchical mesoporous structures from HNINC could effectively facilitate the separation and transfer of photo-induced electron-hole pairs and afford rich active sites for photocatalytic reactions, leading to a significantly higher H₂ production rate than NiO deposited with platinum. Density functional theory calculations reveal that the migration path of the photo-generated electron transfer is from Ni 3d and O 2p hybrid states of NiO to the C 2p state of graphite, while the photo-generated holes locate at Ni 4s and Ni 4p hybrid states of NiO, which is beneficial to improve the separation of photo-generated electron-hole pairs. Gibbs free energy of the intermediate state for hydrogen evolution reaction is calculated to provide a fundamental understanding of the high H₂ production rate of HNINC. This research sheds light on developing novel photocatalysts for efficient hydrogen evolution. Ministry of Education (MOE) This work was supported by the National Natural Science Foundation of China (21671085 and 21701063), the Natural Science Foundation of Jiangsu Province (BK20161160), the Qing Lan Project and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Postgraduate Research and Practical Innovation Program of Jiangsu Province (KYCX18_2018). This research is also supported by the Singapore Academic Research Fund (RG5/16, RG11/17 and RG114/17).
Databáze: OpenAIRE