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Machine learning assisted nanobeam X‐ray diffraction based analysis on hydride vapor‐phase epitaxy GaN.

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Title: Machine learning assisted nanobeam X‐ray diffraction based analysis on hydride vapor‐phase epitaxy GaN.
Authors: Wu, Zhendong1, u338462d@ecs.osaka-u.ac.jp, Hayashi, Yusuke2, Tohei, Tetsuya1, tohei@ee.es.osaka-u.ac.jp, Sumitani, Kazushi3, Imai, Yasuhiko3, Kimura, Shigeru3, Sakai, Akira1, sakai@ee.es.osaka-u.ac.jp
Source: Journal of Applied Crystallography; Aug2025, Vol. 58 Issue 4, p1205-1219, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187112504
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine learning assisted nanobeam X‐ray diffraction based analysis on hydride vapor‐phase epitaxy GaN.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187112504
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1107/S1600576725004169
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1205
    Titles:
      – TitleFull: Machine learning assisted nanobeam X‐ray diffraction based analysis on hydride vapor‐phase epitaxy GaN.
        Type: main
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            NameFull: Wu, Zhendong
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            NameFull: Hayashi, Yusuke
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            NameFull: Tohei, Tetsuya
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            NameFull: Sumitani, Kazushi
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            NameFull: Imai, Yasuhiko
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            NameFull: Kimura, Shigeru
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          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 58
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            – TitleFull: Journal of Applied Crystallography
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