C02.3 - 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)

• 

  Peter Ercius, PhD.

  Staff Scientist
  Molecular Foundry
  Lawrence Berkeley National Laboratory
  Berkeley, California, United States

Presentations:

• 1:30 PM – 1:45 PM US CST

  EELS clustering in Strained Nanocrystal using Machine Learning: A Case Study of Core/Shell Nanocrystal with Uniform Grain Boundary Defects
  

  Presenting Author: Min Gee Cho – Molecular Foundry, Lawrence Berkeley National Laboratory

  Co-Author: Myounghwan Oh – Korea Institute of Energy Technology

  Co-Author: Colin Ophus, Ph.D – NCEM, Molecular Foundry, LBNL

  Co-Author: Mary Scott, Ph.D. – University of California - Berkeley
• 1:45 PM – 2:00 PM US CST

  Developing Robust Neural Networks for High-Resolution TEM Image Analysis
  

  Presenting Author: Katherine Sytwu – Lawrence Berkeley National Laboratory

  Co-Author: Luis Rangel DaCosta – University of California, Berkeley

  Co-Author: Mary Scott, Ph.D. – University of California - Berkeley
• 2:00 PM – 2:30 PM US CST

  Physics-Augmented Machine Learning for Automated and Autonomous Experiments in Microscopy
  

  Presenting Author: Maxim Ziatdinov – Oak Ridge National Lab
• 2:30 PM – 2:45 PM US CST

  Extracting High Spatio-Temporal Information using Machine Learning from Pt Nanoparticles in CO Gas Environment
  

  Presenting Author: Piyush Haluai – Arizona State University

  Co-Author: Adria M. Morales – New York University

  Co-Author: Matan Leibovich – New York University

  Co-Author: Mai Tan – Arizona State University

  Co-Author: Joshua Vincent – Arizona State University

  Co-Author: Carlos Fernandez-Granda – New York University

  Co-Author: Peter Crozier – Arizona State University
• 2:45 PM – 3:00 PM US CST

  Discovering the electron beam induced transition rates for silicon dopants in graphene with deep neural networks in the STEM
  

  Presenting Author: Kevin M. Roccapriore – Oak Ridge National Laboratory

  Co-Author: Max Schwarzer – MILA, Montreal, Canada

  Co-Author: Joshua Greaves – Google Research

  Co-Author: Jesse Farebrother – MILA, Montreal, Canada

  Co-Author: Rishabh Agarwal – MILA, Montreal, Canada

  Co-Author: Maxim Ziatdinov – Oak Ridge National Lab

  Co-Author: Ekin Cubuk – Google Research

  Co-Author: Aaron Courville – MILA, Montreal, Canada

  Co-Author: Marc Bellemare – MILA, Montreal, Canada

  Co-Author: Sergei V. Kalinin – University of Tennessee