Arthur R. C. McCray

Postdoc
Stanford University, United States

Arthur McCray is a postdoctoral scholar in the Ophus Group at Stanford University, where he develops machine learning and other computational methods for (S)TEM. He completed his PhD under the supervision of Amanda Petford-Long at Northwestern University and Argonne National Lab. His PhD research was focused on magnetic materials, including in situ experimental studies of ferromagnetic vdW materials, developing computational tools for Lorentz TEM analysis, and the physics of nanoscale spin textures. Arthur is interested in a wide range of subjects, including anything that can be imaged with a TEM. He is particularly excited about solving difficult inverse problems using physics-informed machine learning techniques.

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Presentation(s):

• Improving Iterative Ptychographic Reconstructions with Generative Neural Networks

  Monday, July 28, 2025
  2:15 PM - 2:30 PM MT

• Deep Learning Enhancements of 4DSTEM Ptychographic Reconstruction

  Tuesday, July 29, 2025
  11:30 AM - 12:00 PM MT

• Deep Learning Model for Obtaining Spatially Resolved Pair Distribution Functions from 4DSTEM Data

  Wednesday, July 30, 2025
  11:00 AM - 11:15 AM MT

• End–to–End Atomic Electron Tomography Reconstruction and Alignment Using Deep Learning Techniques

  Thursday, July 31, 2025
  2:00 PM - 2:15 PM MT