C06.4 - Advancements in Generative Artificial Intelligence and Automation for Electron Microscopy

Session Chair(s)

• Bw

  Binbin wang

  Ph.D student
  The Ohio State University
  COLUMBUS, Ohio, United States
• MA

  Mehrdad Abbasi Gharacheh, MS, PhD Student

  Graduate research asssitant
  The Ohio State University
  (2) Department of Materials Science and Engineering, (3) Center for Electron Microscopy and Analysis (CEMAS)
  Columbus, Ohio, United States

Presentations:

• 1:30 PM - 2:00 PM MT

  Illuminating the Material World: Autonomous Microscopy to Understand Order, Disorder, and Everything In Between
  

  Presenting Author: Steven Spurgeon, PhD – National Renewable Energy Laboratory
• 2:00 PM - 2:15 PM MT

  Unsupervised Machine Learning for Atomic-Resolution S(TEM) Image Analysis and Management
  

  Presenting Author: Raja Abdul Wahab Ayyubi (he/him/his) – Department of Physics, University of Illinois at Chicago

  Co-Author: Seyfal Sultanov – Department of Computer Science, University of Illinois at Chicago

  Co-Author: james P. Buban – Department of Physics, University of Illinois at Chicago

  Co-Author: Robert F. Klie, PhD (he/him/his) – University of Illinois Chicago
• 2:15 PM - 2:30 PM MT

  Real-Time Image Analysis in Microscopy: A Reward-Based Workflow Approach
  

  Presenting Author: Kamyar Barakati (he/him/his) – Department of Materials Science and Engineering, Institute for Advanced Materials and Manufacturing, University of Tennessee

  Co-Author: Yu Liu (he/him/his) – Department of Materials Science and Engineering, Institute for Advanced Materials and Manufacturing, University of Tennessee

  Co-Author: UTKARSH PRATIUSH (he/him/his) – Department of Materials Science and Engineering, Institute for Advanced Materials and Manufacturing, University of Tennessee

  Co-Author: Austin Houston – UT KNOXVILLE

  Co-Author: Gerd Duscher – University of Tennessee

  Co-Author: Sergei V. Kalinin, Ph.D – University of Tennessee
• 2:30 PM - 3:00 PM MT

  Using CycleGANs to Generate Realistic STEM Images for Machine Learning and Atom-By-Atom Analysis on the Million-Atom Scale
  

  Presenting Author: Pinshane Y. Huang, Ph.D – University of Illinois at Urbana Champaign

  Co-Author: Chia-Hao Lee (he/him/his) – Cornell University

  Co-Author: Abid Khan – UIUC

  Co-Author: Bryan Clark, Ph.D – University of Illinois at Urbana Champaign