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Journal Article

Machine-learning-based atom probe crystallographic analysis

MPS-Authors
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Wei,  Ye
Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Gault,  Baptiste
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Varanasi,  Rama Srinivas
Alloy Design and Thermomechanical Processing, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Raabe,  Dierk
Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Herbig,  Michael
Materials Science of Mechanical Contacts, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Breen,  Andrew J.
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Citation

Wei, Y., Gault, B., Varanasi, R. S., Raabe, D., Herbig, M., & Breen, A. J. (2018). Machine-learning-based atom probe crystallographic analysis. Ultramicroscopy, 194, 15-24. doi:10.1016/j.ultramic.2018.06.017.


Cite as: https://hdl.handle.net/21.11116/0000-0001-E27D-4
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