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Progress towards a rapid-throughput MeV ultrafast electron diffraction system

ORAL

Abstract

MeV ultrafast electron diffraction (MUED) is a powerful structural measurement technique for novel characterization of matter. It can determine fine structural details with ultrafast time resolving capability, enabling the study of structural transitions in a wide range of materials.
One class of advancement that can be investigated at MUED facilities is the demonstration of realtime or near-realtime data processing enabled by data science/machine learning/artificial intelligence mechanisms in conjunction with high-performance computing for automated operation, data acquisition and processing. We present the current progress made towards fully automating the facility from operation to material characterization.

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Presenters

  • Mariana Fazio

    Electrical & Computer Engineering, University of New Mexico

Authors

  • Mariana Fazio

    Electrical & Computer Engineering, University of New Mexico

  • Sandra G Biedron

    Electrical and Computer Engineering and Mechanical Engineering, University of New Mexico

  • Destry Monk

    Electrical & Computer Engineering, University of New Mexico

  • Manel Martínez-Ramón

    Electrical & Computer Engineering, University of New Mexico

  • Salvador Sosa Guitron

    Electrical & Computer Engineering, University of New Mexico

  • David Martin

    Argonne National Laboratory

  • Michael Papka

    Argonne National Laboratory

  • Marcus Babzien

    Brookhaven National Laboratory

  • Kevin A. Brown

    Brookhaven National Laboratory

  • Mark A Palmer

    Brookhaven National Laboratory

  • Jing Tao

    Brookhaven National Laboratory

  • Alan Hurd

    Los Alamos National Laboratory, Los Alamos Natl Lab

  • Julian Chen

    Los Alamos National Laboratory

  • Rohit P Prasankumar

    Los Alamos National Laboratory, CINT, Los Alamos National Lab, Center for Integrated Nanotechnologies, Los Alamos National Laboratory

  • Christine Sweeney

    Los Alamos National Laboratory