Bibliographic Details
| Title: |
A two-dimensional nitrogen-rich carbon/silicon composite as high performance anode material for lithium ion batteries. |
| Authors: |
Mu, Tiansheng1, Zuo, Pengjian1 zuopj@hit.edu.cn, Lou, Shuaifeng1, Pan, Qingrui1, Li, Qin1, Du, Chunyu1, Gao, Yunzhi1, Cheng, Xinqun1, Ma, Yulin1, Yin, Geping1 yingeping@hit.edu.cn |
| Source: |
Chemical Engineering Journal. Jun2018, Vol. 341, p37-46. 10p. |
| Subjects: |
Electrochemical analysis, Citric acid, Lithium-ion batteries, Carboxyl group, Anodes |
| Abstract: |
Graphical abstract Highlights • NRC/Si composite is prepared through a facile self-assembly process. • NRC/Si composite possesses a two-dimensional structure. • Rich-nitrogen doping improves the electronic conductivity of the composites. • NRC/Si anode exhibits high reversible capacity and excellent rate capability. Abstract The two-dimensional (2D) carbon material shows great superiority in improving the electrochemical performance of silicon-based anode for lithium ion batteries. We synthesize a nitrogen-rich carbon/silicon composite (NRC/Si) with a graphene-like structure by an amino-carboxyl self-assembly of the citric acid, melamine and Si-NH 2. The NRC/Si composite with a two-dimensional structure can effectively buffer the volume change of silicon material during cycling. Moreover, the rich-nitrogen doping improves the electronic conductivity and facilitates the charge transfer during charge and discharge process. The NRC/Si as anode material for lithium ion batteries shows good cycle stability and rate capability, delivering a reversible capacity of 1000 mA h g−1 after 300 cycles at 2 A g−1 and 572 mA h g−1 even at 5 A g−1, respectively. In addition, the synthesis method of the NRC/Si composite is cost-effective, environmentally friendly and industrially scalable, which makes it very promising to obtain the high-performance anode materials in lithium ion batteries. [ABSTRACT FROM AUTHOR] |
|
Copyright of Chemical Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |