欢迎访问手机网上真人赌博!

高立军课题组与合作者在JACS上发表研究论文

发布者:金霞发布时间:2019-11-07浏览次数:10

标题:Structural and Electronic Optimization of MoS2 Edges for HydrogenEvolution

作者:Hao Wang,1,2Xu Xiao,3 Shuyuan Liu,1Chao-Lung Chiang,4Xiaoxiao Kuai,1 Chun-Kuo Peng,4,5Yu-Chang Lin,4,5Xing Meng,3,6 Jianqing Zhao,1 Jin-Ho Choi,1* Yan-Gu Lin,4Jong-Min Lee,2*and Lijun Gao1*

单位:1 Soochow Institute for Energy and Materials Innovations & Key Laboratory of Advanced Carbon Materials and Wearable EnergyTechnologies of Jiangsu Province, College of Energy, Soochow University, Suzhou 215006, China
2 School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore
3 A.J. Drexel Nanomaterials Institute and Department of Materials Science and Engineering, Drexel University, Philadelphia,Pennsylvania 19104, United States
4 National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan, R.O.C.
5 Department of Materials Science and Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan, R.O.C.
6 Key Laboratory of Physics and Technology for Advanced Batteries (Ministry of Education), College of Physics, Jilin University,Changchun 130012, China

摘要:The activity and accessibility of MoS2 edge sites are critical to deliver high hydrogen evolution reaction (HER) efficiency. Here, a porous carbon network confining ultrasmall N-doped MoS2 nanocrystals (N-MoS2/CN) is fabricated by a self-templating strategy, which realizes synergistically structural and electronic modulations of MoS2 edges. Experiments and density functional theory calculations demonstrate that the N dopants could activate MoS2 edges for HER, while the porous carbon network could deliver high accessibility of the active sites from N-MoS2 nanocrystals. Consequently, N-MoS2/CN possesses superior HER activity with an overpotential of 114 mV at 10 mA cm−2 and excellent stability over 10 h, delivering one of best MoS2-based HER electrocatalysts. Moreover, this study opens a new venue for optimizing materials with enhanced accessible catalytic sites for energy-related applications.

影响因子:14.695

原文链接:https://pubs.acs.org/doi/abs/10.1021/jacs.9b09932


Baidu