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In situ Transmission Electron Microscopy for Data-driven Modeling of Nanoparticle Evolution

Published online by Cambridge University Press:  30 July 2021

James Horwath ,
Peter Voorhees  and
Eric Stach
James Horwath
Affiliation:
University of Pennsylvania, United States
Peter Voorhees
Affiliation:
Northwestern Universtiy, United States
Eric Stach
Affiliation:
University of Pennsylvania, Philadelphia, Pennsylvania, United States

Abstract

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Type
New Frontiers in In-Situ Electron Microscopy in Liquids and Gases (L&G EM FIG Sponsored)
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 1312 - 1313
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Horwath, , Zakharov, D., Megret, R., Stach, E., “Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images”, npj Computational Materials 6 108 (2020).CrossRefGoogle Scholar
Blackman, , Lisgarten, N., Skinner, L., “Surface energy and evaporation rate of spherical particles of radii less than 500 Å”, Nature 217 1254-1246 (1968).CrossRefGoogle Scholar
Nanda, , Kruis, F., Fassan, H., “Evaporation of Free PbS Nanoparticles: Evidence of the Kelvin Effect,” Physical Review Letters 89 256103 (2002).CrossRefGoogle ScholarPubMed
P.H and E.A.S acknowledge support through the National Science Foundation, Division of Materials Research, Metals and Metallic Nanostructures Program under Grant 1809398. This research used resources of the Center for Functional Nanomaterials, which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory under Contract No. DE-SC00127044Google Scholar