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Xining Zang, Ph.D. 2016

Mechanical Engineering
Advisor: Prof. Lin

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Research Interests: 1. CVD synthesis of 2D materials including graphene, MoS2 and other TMDC. 2. 3D carbon based material in electrochemcial applciation including supercapacitor and hydrogen evolution reaction. 3. multiscale simulation (FEA, DFT, MD)of mechanical, electrical, and optical properties of graphene.
Job Interests: Academic post-doc position Industry

BIOGRAPHY
Xining Zang received her B.E. degree in Materials Science and Engineering from Shanghai Jiao Tong University in 2012. She has been pursuing her PhD degree in Mechanical Engineering from UC Berkeley since 2012.

3D Carbon-Based Materials for Electrochemical Applications [BPN742]
Carbon-based materials such as CNT (1D) and graphene (2D) have been widely studied as electrode materials in various applications, including sensing, catalyst and energy storage. The extraordinary properties of these carbon-based materials provide possible advantages in reduced reaction potential, low surface fouling, and large surface area. This project aims to investigate possible combination of the 1D and 2D carbon-based materials in the form of 3D structures. In this project, we first design and demonstrate a two-step CVD process to fabricate CNT-graphene and CNT-CNT 3D matrix electrodes which are applied in aqueous supercapacitor. The second CVD process directly assemble graphene and CNT onto the pre-grown VACNT forests, which not only increase the active surface area but also improve the electrical conductivity. Capacitance of CNT-CNT network enhanced 3.19 times, while CNT-graphene enhanced 2.24 times than the as grown VACNT coated with nickel. Further study of long term retention and impedance of the carbon based electrode is on the go. At the same time, by applying "water in salt" electrode with TiS2 modified anode we breakthrough the limitation of max 1.23 V output voltage of aqueous supercapacitor. Such result bring promises in shrink the state-of-art supercapacitor voltage while enhance the output energy density, which will great deduce the cost of supercapacitor application.


Current Active Projects:
BPN742
 

     Last Updated: Thu 2016-Mar-03 11:59:14

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