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Clark School

Ying Liu

Yihang LiuPh.D Student (Co-advise with Prof. David Bigio at ME)

Department of Chemical and Biomolecular Engineering
Room 4128 Chemistry Building
Building #090
University of Maryland, College Park, MD 20742

E-mail: liuy@umd.edu
Phone: 301-405-3107


  • M.S. in Electrochemistry, Chinese Academy of Sciences, China, 2011
  • B.S. in Materials Science and Engineering, Xi’an University of Technology, China, 2008

Research Interests

  • Electrochemistry for energy storage.
  • Polymer electrode materials for Li-ion batteries.
  • Silicon nanowire/nanotube/nanopaticle anode materials for Li-ion batteries.
  • Formation and stability of Solid Electrolyte Interphase (SEI) formed in Li-ions batteries.
  • In situ EC-AFM observations for battery systems.
  • In situ AFM for Li-ion batteries

Research Experiences

  • Graduate Research Assistant (Aug. 2012 – present)
    Department of Chemical & Biomolecular Engineering, University of Maryland, College Park, US.
    (1) In situ AFM study of SEI films.
    (2) Silicon anode materials for LIBs.
    (3) Polymer electrode materials for LIBs.
  • Graduate Research Assistant (Sep. 2008 – July 2011)
    Institute of Metal Research, Chinese Academy of Sciences, China.
    (1) Failure mechanism of epoxy coatings using EIS, FTIR, AFM and DSC.
    (2) Mathematical models of wet adhesion of organic coatings.
  • Research Assistant (May. 2006 – July 2008)
    Department of Materials Sciences and Engineering, Xi’an University of Technology, China.
    (1) Fabrication and assessment of Micro-Arc Oxidation films on Mg and Al alloys.
    (2) Fabrication of ceramic coatings on cutting tools.

Professional Skills

  • Proficient in many electrochemical testing methods, including polarization, EIS, Mott-Schottky plot, potentiostatic and galvanostatic measurements etc.
  • Proficient in various electrochemical analysis apparatus, including PAR 273, PAR 2263, PAR 2273, Autolab, Solartron 1296 and 1260.
  • Familiar with a variety of testing equipments for materials, especially in the analysis of elements, microstructure and morphology, such as XRD, SEM, FTIR, AFM, DSC and Raman etc.
  • Familiar with some modern mathematical analysis methods, including Grey System Theory and Artificial Neural Network etc.


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