MSc Nanotechnology, University College London （2009-2010）
Dissertation: “Infrared Ligh Emitting Diodes Incorporating HBTP”
Chinese Language, Tianjin University of Technology（2009-2009）
BSc Theoretical Physics, University College London（2003-2006）
Dissertation: “Quantum Information Transfer in a Spin Chain of Three Spins”
Science is not always an idealistic pursuit, but I am studying for a PhD to understand and achieve what it means to do science with an impact. Currently at CNMM, I work with Prof. Francois Grey and As. Prof. Xu Zhiping as a first year PhD student to investigate water flow in nanostructures using molecular dynamics simulations. I also contribute to the Computing for Clean Water project and get to be involved with the development of volunteer computing at CAS@Home.
Flow in Nanostructures
For applications such as filtration, batteries and super capacitors, it is important to understand both liquid and ion flow in nanostructures. Carbon nanotubes can be compressed into paper form, and this paper form, often called “Bucky paper”, is an example of a random nano structure. The porosity and pore structure of carbon nanotube paper can be modified by chemistry, or by mixing tubes of different diameter. Properties like high porosity, mechanical strength, conductivity, ease of fabrication, and small pores makes it a good candidate for applications as electrodes for batteries, ion separation membranes for fuel cells, and membranes for filtration of air and distillation of water.
I am making simulations to investigate the effects of pore sizes, applied pressure and membrane thicknesses on properties such as permeance, selectivity, and diffusion within a bucky paper. My ambition is to establish a model for flow through random nano networks which can be used to guide the design in the above applications.
Figure 1 shows the simples setup of a simulation of flow in a nanotube network and some related results.
For more info on Computing for Clean Water and CAS@Home, visit that section under Flow and Health.