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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

UM hosts the 2018 MAS TC on EBSD

The latest Microanalysis Society Topical Conference on Electron Backscatter Diffraction (EBSD) took place this May 23–25 at the University of Michigan. The organizers, Steve Niezgoda (OSU), Marc DeGraef (CMU), Elena Miranda (CSUN), Andrew Cross (Wash U – St Louis), Bobby Kerns (UM) and Emmanuelle Marquis (UM) ensured a comprehensive program with speakers including Katharina Marquardt […]

MAS Director Emma Bullock heads up the Smithsonian Science Education Academy for Teachers

In early August, 2017, a group of 21 teachers from around the US took part in the Smithsonian Science Education Academy for Teachers (SSEATs) on Earth’s History and Global Change. This program is designed to introduce K-12 teachers to world-class scientists, strategies for science education, and provide resources to take science back to their classrooms. […]

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