Rajat Sainju

Research Assistant
University of Connecticut
University of Connecticut, United States

I am a Ph.D. student in the Department of Material Science and Engineering at the University of Connecticut where I am advised by Professor Yuanyuan Zhu (https://zhu.mse.uconn.edu/). In my research, I work on developing image processing (deep learning and traditional computer vision) algorithms for automated analysis of in-situ transmission electron microscopy videos/images and establish TEM benchmark datasets. My work also focuses on understanding the material dynamics of metal catalyst nanoparticles in oxidation and reduction conditions, high temperature oxidation mechanism of refractory metals, and nuclear irradiation effects on reactor structural alloys.

Disclosure information not submitted.

Presentation(s):

• Deep Learning for Automated Quantification of Irradiation Defects in TEM Data: Relating Pixel-level Errors to Defect Properties

  Tuesday, July 25, 2023
  11:15 AM – 11:30 AM US CST

• In-situ Thermal Oxidation of Fusion PFM Tungsten Using Atmospheric Environmental TEM

  Wednesday, July 26, 2023
  9:00 AM – 9:15 AM US CST

• In-situ ETEM Observation of Competing Mechanisms for Filamentous Carbon Gasification

  Thursday, July 27, 2023
  9:30 AM – 9:45 AM US CST