C02.2 - Extracting Information from Data: Applications of Artificial Intelligence in Microscopy Application of Artificial Intelligence to Microscopy in the Materials and Biological Sciences

Session Chair(s)

• KR

  Kevin Roccapriore, Ph.D

  Postdoctoral Researcher
  Oak Ridge National Laboratory
  Oak Ridge, Tennessee, United States

Presentations:

• 10:30 AM – 10:45 AM US CST

  Machine Learning Prediction of Charge State from EELS Spectra of Third Row Transition Metals
  

  Presenting Author: Samuel P. Gleason (he/him/his) – UC Berkeley

  Co-Author: Deyu Lu, Ph.D – Brookhaven National Laboratory

  Co-Author: Jim Ciston, Ph.D (he/him/his) – Lawrence Berkeley National Laboratory, Molecular Foundry
• 10:45 AM – 11:00 AM US CST

  3D Magnetization Reconstruction for Lorentz Microscopy using Differential Programming
  

  Presenting Author: Arthur R C McCray (he/him/his) – Argonne National Laboratory

  Co-Author: Mathew Cherukara – Argonne National Laboratory

  Co-Author: Amanda Petford Long (she/her/hers) – Argonne National Laboratory

  Co-Author: Charudatta Phatak, Ph.D (he/him/his) – Argonne National Laboratory
• 11:00 AM – 11:30 AM US CST

  Marrying Microscopy, Modeling, and Machine Learning
  

  Presenting Author: Maria KY Chan – Argonne National Laboratory
• 11:30 AM – 12:00 PM US CST

  Decoding Spatial Symmetry and EELS Spectroscopic Fine Structures
  

  Presenting Author: Huolin Xin, Ph.D (he/him/his) – University of California, Irvine

  Co-Author: Chunyang Wang, Ph.D – University of California, Irvine

  Co-Author: Dong Zhu – University of California, Irvine

  Co-Author: Zhengran Ji – University of California, Irvine

  Co-Author: Mike Hu – University of California, Irvine

  Co-Author: Lingli Kong – University of California, Irvine