C06.3 - 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:

• 10:30 AM - 11:00 AM MT

  Segmentation and Classification Algorithm for CNT quantification
  

  Presenting Author: Pawan Vedanti – University of Pennsylvania

  Co-Author: Eric Stach, Ph.D. – University of Pennsylvania
• 11:00 AM - 11:15 AM MT

  Emittance Minimization for Aberration Correction via Machine Learning and Bayesian Optimization
  

  Presenting Author: Desheng Ma – School of Applied and Engineering Physics, Cornell University

  Co-Author: Steven E. Zeltmann – Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM)

  Co-Author: Chenyu Zhang – Cornell University

  Co-Author: Yu-Tsun Shao (he/him/his) – University of Southern California

  Co-Author: Zhaslan Baraissov – Cornell University

  Co-Author: Cameron Duncan – SLAC National Laboratory

  Co-Author: Auralee Edelen – SLAC National Laboratory

  Co-Author: Jared Maxson – Cornell University

  Co-Author: David A. Muller (he/him/his) – Cornell University
• 11:15 AM - 11:30 AM MT

  Recipes for successful transfer learning for neural network analysis of high-resolution transmission electron microscopy data
  

  Presenting Author: Luis Rangel DaCosta (he/him/his) – University of California, Berkeley

  Co-Author: Henry Oill – University of California, Berkeley

  Co-Author: Mary Scott, Ph.D (she/her/hers) – Department of Materials Science and Engineering, University of California, Berkeley
• 11:30 AM - 12:00 PM MT

  In situ scanning transmission electron microscopy (STEM) imaging of atomic behavior at solid liquid interfaces enabled by Deep Learning data analysis
  

  Presenting Author: Sarah J. Haigh (she/her/hers) – University of Manchester

  Co-Author: William Thornley – University of Manchester

  Co-Author: Sam Sullivan-Allsop – University of Manchester

  Co-Author: Nick Clark – University of Manchester

  Co-Author: Matthew Lindley – University of Manchester

  Co-Author: Roman Gorbachev – University of Manchester