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  Machine-learning-based atom probe crystallographic analysis

Wei, Y., Gault, B., Varanasi, R. S., Raabe, D., Herbig, M., & Breen, A. J. (2018). Machine-learning-based atom probe crystallographic analysis. Ultramicroscopy, 194, 15-24. doi:10.1016/j.ultramic.2018.06.017.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-E27D-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-E27E-3
Genre: Journal Article

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 Creators:
Wei, Ye1, Author              
Gault, Baptiste2, Author              
Varanasi, Rama Srinivas3, Author              
Raabe, Dierk1, Author              
Herbig, Michael4, Author              
Breen, Andrew J.2, Author              
Affiliations:
1Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381              
2Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863384              
3Alloy Design and Thermomechanical Processing, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863383              
4Materials Science of Mechanical Contacts, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_2324693              

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Language(s): eng - English
 Dates: 2018-07-072018-11
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.ultramic.2018.06.017
 Degree: -

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Title: Ultramicroscopy
  Abbreviation : Ultramicroscopy
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 194 Sequence Number: - Start / End Page: 15 - 24 Identifier: ISSN: 0304-3991
CoNE: /journals/resource/954925512451