Imaging Magnetic Materials: Structure and Function. Practical solutions to complex imaging challenges, from table-top to facility scale experiments. Learn more about STROBE research on magnetic materials!
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Congratulations to Madison Jilek for being awarded a 2020 National Science Foundation Graduate Research Fellowship at CU Boulder in the Dukovic research group.
Steven Zeltmann received the 2020 Microscopy & Microanalysis Conference Student Abstract Award for the August 2020 M&M Conference.
Congrats to Jorge Nicolás (Nico) Hernández Charpak for Receiving the 2020 University of Colorado President’s Diversity Award
Jorge Nicolás (Nico) Hernández Charpak received the 2020 University of Colorado President’s Diversity Award. He was nominated by the STROBE SUPER team. This annual award recognizes significant achievements of faculty*, staff, students, and academic or administrative units in developing a culturally and intellectually diverse university community reflective of inclusive excellence.
Two scientists at the University of Colorado Boulder, Professor Henry Kapteyn and Professor Margaret Murnane, a married couple and partners in physics research, have been awarded the 2020 Benjamin Franklin Medal in Physics by the Franklin Institute. lt is one of several awards given out yearly by the institute. In its 196th year, the Franklin Institute continues to pay tribute to its namesake, Benjamin Franklin, by honoring the greatest minds in science. “The Franklin Institute Awards pay tribute to America’s original scientist, Benjamin Franklin, by honoring the greatest minds in science, engineering, and industry,” said Chris Franklin, chair of the Awards Corporate Committee, in a statement. “We believe in the work the Institution does to inspire a passion for learning about science and technology.” Professor Margret Murnane believes that sharing the honor with her husband is one of the best parts about winning the award.
Scientists develop innovative technique to pinpoint coordinates of single atoms. A UCLA-led research team has produced in unprecedented detail experimental three-dimensional maps of the atoms in a so-called 2D material — matter that isn’t truly two-dimensional but is nearly flat because it’s arranged in extremely thin layers, no more than a few atoms thick. Although 2D-materials–based technologies have not yet been widely used in commercial applications, the materials have been the subject of considerable research interest. In the future, they could be the basis for semiconductors in ever smaller electronics, quantum computer components, more-efficient batteries, or filters capable of extracting freshwater from saltwater.
Scanning atomic electron tomography measurements reveal the 3D local structure around single dopant atoms in 2D transition metal dichalcogenides, providing essential information to investigate and predict their electronic properties.
The American Society of Chemistry (ACS) has announced Naomi S. Ginsberg is a recipient of the 2020 early-career award(link is external) in experimental physical chemistry. She is being recognized “For the development of new time- and space-resolved imaging and spectroscopy methods to study dynamical phenomena in heterogeneous materials”.
Towards Automated Information Extraction from High Resolution Transmission Electron Microscopy Images
Transmission electron microscopy (TEM) is the characterization method of choice to observe the atomic-scale and microstructural local features within materials that play a critical role in material performance. However, a bottleneck exists between image acquisition and the extraction of relevant information that can be used in a materials design feedback loop. While image analysis of individual images can easily identify regions of interest and determine whether they contain defects, it is prohibitively time-consuming to manually perform this analysis on large numbers of images. Advances in machine learning and computer vision have made high accuracy automated image interpretation possible. Here, we present application of machine learning and other high-throughput methods to TEM images for nanoparticle identification and microstructural characterization.