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Journal Article

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

MPS-Authors
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Saksena,  Aparna
High Performance Alloys for Extreme Environments, Project Groups, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Hydrogen Embrittlement in High Performance Alloys, Interdepartmental and Partner Groups, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Wei,  Shaolou
Sustainable Synthesis of Materials, Interdepartmental and Partner Groups, Max Planck Institute for Sustainable Materials GmbH, Max Planck Society;

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Gault,  Baptiste
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Imperial College, Royal School of Mines, Department of Materials, London, SW7 2AZ, UK;

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Li,  Yue
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-000F-B641-A
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