Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session EE10: V: 2D- Ferroelectric, Magnetic and Optical Properties
10:00 AM–12:00 PM,
Monday, March 20, 2023
Room: Virtual Room 10
Sponsoring
Unit:
DMP
Chair: Salvador Barraza-Lopez, University of Arkansas
Abstract: EE10.00005 : Autonomous experimentation in 4D-STEM and EELS with deep kernel learning*
11:12 AM–11:24 AM
Presenter:
Kevin M Roccapriore
(Oak Ridge National Laboratory)
Authors:
Kevin M Roccapriore
(Oak Ridge National Laboratory)
Maxim Ziatdinov
(Oak Ridge National Lab)
Ondrej Dyck
(Oak Ridge National Laboratory)
Ayana Ghosh
(Oak Ridge National Lab)
Sergei V Kalinin
(University of Tennessee)
Here we show how deep kernel learning (DKL) can be utilized to build relationships on-the-fly between local structural information (in the form of HAADF-STEM image patches) and local analytical responses. In other words, structure-property relationships are formed between local structure and an EEL spectrum or diffraction pattern coming from the center of the local structure image patch. The microscope can then operate in an autonomous manner and collect EELS or 4D-STEM data by continuing to learn structure property relationships on the fly.
*This research is sponsored by the INTERSECT Initiative as part of the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under contract DE-AC05-00OR22725. This research used resources of the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility.
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