CV

Education

Ph.D in Materials Science and Engineering, University of California Davis, 09/2018
Thesis: “Computational Study of Materials Interface Properties for Applications at Extreme Conditions: Mesoporous Silica and Yttria Stabilized Zirconia”
Advisors: Prof. Roland Faller, Prof. Ricardo Castro and Prof. Pieter Strove
M.S. in Optical Engineering, Shanghai Jiao Tong University, 03/2014
Thesis: “Morphological Control and Mechanism Study of Silicon Nanowires Based on Metal-assisted Chemical Etching”
Advisor: Prof. Wenzhong Shen
General Engineering Diploma, 4+4 Dual-Degree Program, Ecole Centrale de Lyon, 07/2014
B.S. in Applied Physics, Shanghai Jiao Tong University, 07/2011

Since Oct. 2018: Postdoctoral researcher at U Chicago
- Supervisor: Prof. Giulia Galli
- Project: “Quantum Materials for Energy-Efficient Neuromorphic Computing”
Summer 2017: Summer Intern at CCMS Summer Institute, Lawrence Livermore National Laboratory
- Advisor: Dr. Nir Goldman
- Project: “Density Functional Tight Binding Calculation of Diamond Melting Line at Extreme Conditions”
Sep. 2014-Sep. 2018: Graduate Researcher at UC Davis
- Advisors: Prof. Roland Faller, Prof. Ricardo Castro and Prof. Pieter Stroeve
- Project: “Understanding Halogen Gas Interaction with Germanium Surface using Atomistic Simulation”, in collaboration with LAM Research Company
- Project: “Energetic Design of Grain Boundary Networks for Toughening of Nanocrystalline Yttria-Stabilized Zirconia with Dopant Segregation”
- Project: “Thermally and Chemically Responsive Nanoporous Materials for Efficient Capture of Fission Product Gases”, in collaboration with Lawrence Livermore National Laboratory
  - Mesoporous silica MCM-41
  - Amorphous Alumina
  - Carbon Nanotube
Sep. 2011-Mar. 2014: Graduate Researcher at Shanghai Jiao Tong University
- Advisor: Prof. Wenzhong Shen
- Project: “Exploring efficient fabrication methods for semiconductor nanostructures”
  - Silicon Nanowires Morphology Control via Metal-Assisted Chemical Etching
  - Hydrothermal Synthesis of Grarphene Quantum Dots

Computational modeling: Molecular dynamics, Monte Carlo, Force field optimization, Density Functional Theory, X-ray absortpion spectroscopy
Experimental characterizations: SEM, EDX, XRD, TG/DSC, Gas adsorption
Languages: Chinese (Native), French (Minimum professional proficiency)