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QMA-2019

QMA-2019 is history but you can still download the program.

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(For best results, right click and download the program guide to your computer )

News and Announcements

MAS webinar: “TKD 101: An Introduction to Transmission Kikuchi Diffraction”

Please join us for another MAS webinar on November 20 2020 at 1 p.m. (EDT)! Chad Parish, Oak Ridge National Laboratory will talk about the basics of Transmission Kikuchi Diffraction, analytical strategies and error sources and show a few examples of practical materials problem solving using TKD. The live webinar will consist of a 50-minute presentation, followed by a Q&A.

MAS webinar: “Correcting the Scientific Record: RNA Mediation of Pd Metal-Metal Bonds”

Please join us for another MAS webinar on September 22 2020 at 2 p.m. (EDT)! Leonard Donovan, Oak Ridge National Laboratory will talk about RNA Mediation of Pd Metal-Metal Bonds and his role in correcting the scientific record. The live webinar will consist of a 50-minute presentation, followed by a Q&A.

2020 MAS Fellows and Awardees

Events

  • X-12 Short Course: Guidelines for Performing 4D-STEM Characterization from the Atomic to >Micrometer Scales: Experimental Considerations, Data Analysis and Simulation

    August 1, 2021  8:30 am - 5:30 pm

    Sunday Short Course at M&M2021 (Virtual)

    LEAD INSTRUCTORS:
    David Muller, Cornell University
    Colin Ophus, Lawrence Berkeley National Laboratory

    With modern electron detector technology, it is now possible to record full images of a converged STEM probe while scanning it over the sample surface, resulting in a 4D-STEM dataset. Because the atomic-scale scattering information contained in an atomic-scale STEM probe is decoupled from the step size between STEM probe positions, 4D-STEM can be used for experiments ranging from sub-Angstrom resolution phase contrast imaging to statistical characterization of functional materials over large length scales. In this course, we will give tutorials on how to perform 4D-STEM experiments, analyze the (potentially very large!) resulting datasets, and perform 4D-STEM simulations.


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  • X-15 Short course: Data Analysis in Materials Science

    August 1, 2021  8:30 am - 5:30 pm

    Sunday Short Course at M&M 2021 (Virtual)

    LEAD INSTRUCTORS:
    Eric Prestat, University of Manchester and SuperSTEM Laboratory, United Kingdom
    Joshua Taillon, National Institute of Standards and Technology

    This short course will introduce the use of HyperSpy and related Python libraries (atomap, pixStem, pyXem) for analysis of microscopy datasets. No prior Python knowledge is required. Attendees will learn how to perform basic machine learning, multi-dimensional curve fitting for EELS and EDS quantification, atomic resolution image analysis and big data processing (such as 4D STEM) on desktop computers.


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Times are all local to the event.

See the full list of events