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

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Language(s): eng - English
 Dates: 2020-06
 Publication Status: Not specified
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: BIGmax workshop 2020, online
Place of Event: Düsseldorf, Germany
Start-/End Date: 2020-06-15 - 2020-06-16

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