Deep learning, 3D imaging, and transmission electron microscopy

Project Tags: 
Condensed Matter
Time Critical: 
Tuesday, May 14, 2019
Research Project Description: 

Research Project Description: Huolin Xin’s DeepEM lab focuses their research on the imaging of atoms and their bonding electrons with artificially intelligent transmission electron microscopes. His research group uses state-of-the-art transmission electron microscopy (TEM), electron energy loss spectroscopy, 4D electron diffraction, 3D electron tomography, in-operando liquid cells in conjunction with deep learning and other machine learning algorithms to track and quantify the location, species, crystal phase, and electronic structures of individual atoms inside materials. Potential research projects include:

  • Development of deep learning enabled self-driving transmission electron microscopy, and big data mining and analytics.
  • Development of in-situ live electron tomography and novel reconstruction techniques for the 3D imaging of dissolution or growth of energy materials in liquids and soft materials/molecules at cryogenic temperatures.
  • Development of theories and simulations of fast electron channelling in solid materials and novel imaging techniques based on 4D electron diffraction.
  • Identifying cation intermixing and phase transformation in lithium-ion battery cathode materials for making high-energy-density batteries,
  • 3D Strain mapping of fuel cell nanocatalysts to understand how their strain profile is connected with their catalytic properties.

Group webpage:

Undergraduate Student Participation: 

The students will learn deep learning tools and tomography. The emphasis will be on data analysis and code development.

Time Commitment: 

In the academic year, the student should commit at least 10 hours per week for research. In order to be financially supported in summer, the students are expected to work full time.

Minimum GPA: 
Contact Info: 

Huolin Xin, 220 Rowland Hall,


How many hours per week will you be able to work on the project? Will you be available to work outside of the academic year (particularly during the Summer)?
List any lab and computer programming courses you have completed (with grades received) and for which you are currently enrolled.
Briefly describe any previous research experience (less than 300 words). If you have previously received course credit for student research, list those courses here (with grades received) and the name(s) of your supervisor(s).
Give a brief statement (less than 300 words) summarizing what qualities you will bring to the research program and explaining what you hope to achieve through your participation. (Is there something essential that you want to get out of the project? Paid position? Senior thesis? Co-author a journal publication?)
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