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Tunable Microstructures in Entropy-Stabilized Oxide Thin Films Studied with Unsupervised Machine Learning Assisted Electron Microscopy

Published online by Cambridge University Press:  22 July 2022

Leixin Miao
Affiliation:
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, USA
George N. Kotsonis
Affiliation:
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, USA
Jon-Paul Maria
Affiliation:
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, USA
Nasim Alem
Affiliation:
Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, USA

Abstract

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Type
Advanced Imaging and Spectroscopy for Nanoscale Materials
Copyright
Copyright © Microscopy Society of America 2022

References

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L.M., G.N.K, J.P.M., and N.A acknowledge the support by NSF through the Pennsylvania State University Materials Research Science and Engineering Center DMR 2011839. L.M and N.A. acknowledge the Air Force Office of Scientific Research (AFOSR) program FA9550-18-1-0277 as well as GAME MURI, 10059059-PENN for support. L.M. and N.A. appreciate the support and resources from NSF-MRSEC-sponsored Materials Characterization Lab (MCL) at Penn State.Google Scholar