Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys

Li, Yue; Stephenson, Leigh; Zhou, Xuyang; Colnaghi, Timoteo; Marek, Andreas; Bauer, Stefan; Rampp, Markus; Raabe, Dierk; Gault, Baptiste

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Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys

Li, Y., Stephenson, L., Zhou, X., Colnaghi, T., Marek, A., Bauer, S., et al. (2020). Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys. Poster presented at BIGmax workshop 2020, online, Düsseldorf, Germany.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0006-C3CF-5 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0006-C3D0-2

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Urheber:
Li, Yue¹, Autor
Stephenson, Leigh¹, Autor
Zhou, Xuyang¹, Autor
Colnaghi, Timoteo², Autor
Marek, Andreas², Autor
Bauer, Stefan³, Autor
Rampp, Markus², Autor
Raabe, Dierk⁴, Autor
Gault, Baptiste¹, Autor

Affiliations:
1Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863384
2Max Planck Computing and Data Facility, Max Planck Society, Gießenbachstraße 2, 85748 Garching, DE, ou_2364734
3Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647
4Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381