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3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods

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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Peng,  Zirong
Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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

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Wei, Y., Peng, Z., Kühbach, M., Breen, A. J., Legros, M., Larranaga, M., et al. (2019). 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS One, 14(11): e0225041. doi:10.1371/journal.pone.0225041.


Cite as: https://hdl.handle.net/21.11116/0000-0005-426E-6
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