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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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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-C3CF-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-C3D0-2
Genre: Poster

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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: -
 Publishing info: -
 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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