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  3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

Yu, J., Wang, Z., Saksena, A., Wei, S., Wei, Y., Colnaghi, T., et al. (2024). 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures. Acta Materialia, 278: 120280. doi:10.1016/j.actamat.2024.120280.

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 Creators:
Yu, Jiwei1, Author
Wang, Zhangwei1, Author
Saksena, Aparna2, 3, Author           
Wei, Shaolou4, Author           
Wei, Ye5, Author
Colnaghi, Timoteo6, Author
Marek, Andreas6, Author
Rampp , Markus6, Author
Song, Min1, Author
Gault, Baptiste7, 8, Author           
Li, Yue7, Author           
Affiliations:
1State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China, ou_persistent22              
2High Performance Alloys for Extreme Environments, Project Groups, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3243051              
3Hydrogen Embrittlement in High Performance Alloys, Interdepartmental and Partner Groups, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3341923              
4Sustainable Synthesis of Materials, Interdepartmental and Partner Groups, Max Planck Institute for Sustainable Materials GmbH, Max Planck Society, ou_3289784              
5Ecole Polytechnique Fédérale de Lausanne, School of Engineering, Rte Cantonale, 1015 Lausanne, Switzerland, ou_persistent22              
6Max Planck Computing and Data Facility, Gießenbachstraße 2, Garching, 85748, Germany, ou_persistent22              
7Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863384              
8Imperial College, Royal School of Mines, Department of Materials, London, SW7 2AZ, UK, ou_persistent22              

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Language(s): eng - English
 Dates: 2024-10-01
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.actamat.2024.120280
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Title: Acta Materialia
  Abbreviation : Acta Mater.
Source Genre: Journal
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Publ. Info: Kidlington : Elsevier Science
Pages: - Volume / Issue: 278 Sequence Number: 120280 Start / End Page: - Identifier: ISSN: 1359-6454
CoNE: https://pure.mpg.de/cone/journals/resource/954928603100