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  Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography

Li, Y., Wei, Y., Wang, Z., Liu, X., Colnaghi, T., Han, L., et al. (2023). Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications, 14(1): 7410. doi:10.1038/s41467-023-43314-y.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-FE7E-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-FE7F-8
Genre: Journal Article

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 Creators:
Li, Yue1, Author           
Wei, Ye2, Author           
Wang, Zhangwei3, Author
Liu, Xiaochun4, Author
Colnaghi, Timoteo5, Author
Han, Liuliu6, 7, 8, Author           
Rao, Ziyuan6, 7, Author           
Zhou, Xuyang1, Author           
Huber, Liam9, Author           
Dsouza, Raynol10, Author           
Gong, Yilun11, Author           
Neugebauer, Jörg11, Author           
Marek, Andreas5, Author
Rampp, Markus5, Author
Bauer, Stefan12, Author
Li, Hongxiang13, Author
Baker, Ian14, Author
Stephenson, Leigh1, Author           
Gault, Baptiste1, 15, Author           
Affiliations:
1Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863384              
2Hydrogen in Energy Materials, Project Groups, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3291873              
3State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China, ou_persistent22              
4Institute of Metals, College of Materials Science and Engineering, Changsha University of Science and Technology, Changsha, 410114, China, ou_persistent22              
5Max Planck Computing and Data Facility, Gießenbachstraße 2, Garching, 85748, Germany, ou_persistent22              
6De magnete - Designing Magnetism on the atomic scale, MPG Group, Interdepartmental and Partner Groups, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3260224              
7High-Entropy Alloys, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3010672              
8Mechanism-based Alloy Design, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863383              
9Adaptive Structural Materials (Simulation), Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863339              
10Thermodynamics and Kinetics of Defects, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3291769              
11Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863337              
12Max Planck Institute for Intelligent Systems, Max-Planck-Ring 4, Tübingen, 72076, Germany, ou_persistent22              
13State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing, 100083, China, ou_persistent22              
14Thayer School of Engineering, Dartmouth College, Hanover, 03755, NH, United States, ou_persistent22              
15Imperial College, Royal School of Mines, Department of Materials, London, SW7 2AZ, UK, ou_persistent22              

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Language(s): eng - English
 Dates: 2023-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41467-023-43314-y
 Degree: -

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 14 (1) Sequence Number: 7410 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723