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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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Citation

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, 19, 1-19. doi:10.1371/journal.pone.0225041.


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