C01.1 - Machine Intelligence in Action: Delivering Resilient, Sustainable, and Reconfigurable Microscope Ecosystems

Sponsored By 

Session Chair(s)

• LJ

  Lewys Jones, PhD

  Ussher Assistant Professor in Ultramicroscopy
  School of Physics
  Trinity College Dublin
  Dublin, Dublin, Ireland
• 

  Regina Ciancio, PhD

  CNR-IOM
  Trieste, Italy

Presentations:

• 8:30 AM – 9:30 AM US CST

  Automatic operation of conventional and innovative hardware for electron microscopy
  

  Presenting Author: Vincenzo Grillo (he/him/his) – Consiglio Nazionale delle Ricerche

  Co-Author: Enzo Rotunno (he/him/his) – Consiglio Nazionale delle Ricerche
• 9:00 AM – 9:15 AM US CST

  Machine Learning-Driven Autonomous Microscopy for Materials and Physics Discovery
  

  Presenting Author: Yongtao Liu, PhD (he/him/his) – Oak Ridge National Laboratory

  Co-Author: Kyle Kelley – Oak Ridge National Laboratory

  Co-Author: Rama Vasudevan – Oak Ridge National Laboratory

  Co-Author: Maxim Ziatdinov – Oak Ridge National Lab

  Co-Author: Sergei V. Kalinin – University of Tennessee
• 9:15 AM – 9:30 AM US CST

  Maximizing modalities: accelerating quantitative multimodal electron microscopy
  

  Presenting Author: Sarah Akers (she/her/hers) – Pacific Northwest National Laboratory

  Co-Author: Jenna Bilbrey – Pacific Northwest National Laboratory

  Co-Author: Bethany E. Matthews, Ph.D. (she/they) – Pacific Northwest National Laboratory

  Co-Author: Ryan Comes – Auburn University

  Co-Author: Rajendra Paudel – Auburn University

  Co-Author: Steven Spurgeon, Ph.D. – Pacific Northwest National Laboratory
• 9:30 AM – 10:00 AM US CST

  A Universal Data Synthesizer to Enable AI4TEM
  

  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: Zhengran Ji – University of California, Irvine

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

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