Direct recognition of crystal structures via three-dimensional convolutional 
neural networks with high accuracy and tolerance to random displacements and 
missing atoms

Rao, Ziyuan; Li, Yue; Zhang, Hongbin; Colnaghi, Timoteo; Marek, A.; Rampp, Markus; Gault, Baptiste

doi:10.1016/j.scriptamat.2023.115542

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Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms

Rao, Z., Li, Y., Zhang, H., Colnaghi, T., Marek, A., Rampp, M., et al. (2023). Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms. Scripta Materialia, 234: 115542. doi:10.1016/j.scriptamat.2023.115542.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-5663-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-5664-2

Genre: Journal Article

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Creators:
Rao, Ziyuan¹, Author
Li, Yue², Author
Zhang, Hongbin³, Author
Colnaghi, Timoteo⁴, Author
Marek, A.⁴, Author
Rampp, Markus⁴, Author
Gault, Baptiste^{2, 5}, Author

Affiliations:
1De magnete - Designing Magnetism on the atomic scale, MPG Group, Interdepartmental and Partner Groups, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3260224
2Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863384
3Institut für Materialwissenschaft, Technische Universität Darmstadt, 64289 Darmstadt, Germany, ou_persistent22
4Max Planck Computing and Data Facility, Max Planck Society, ou_2364734
5Imperial College, Royal School of Mines, Department of Materials, London, SW7 2AZ, UK, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2023-05-23Date issued: 2023-09

Publication Status: Issued

Pages: -

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Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.1016/j.scriptamat.2023.115542

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Title: Scripta Materialia

Abbreviation : Scripta Mater.

Source Genre: Journal

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Publ. Info: Amsterdam : Elsevier B. V.

Pages: - Volume / Issue: 234 Sequence Number: 115542 Start / End Page: - Identifier: ISSN: 1359-6462
CoNE: https://pure.mpg.de/cone/journals/resource/954926243506