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Utilizing a Dynamic Segmentation Convolutional Neural Network for Microstructure Analysis of Additively Manufactured Superalloy 718

Published online by Cambridge University Press:  30 July 2021

Stephen Taller
Oak Ridge National Laboratory, United States
Luke Scime
Oak Ridge National Laboratory, United States
Kurt Terrani
Oak Ridge National Laboratory, United States


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Advanced Characterization of Components Fabricated by Additive Manufacturing
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America


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This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( Scholar