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Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN interfaces.

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Title: Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN interfaces.
Authors: Jiang, Xinyu1, Sun, Haofan1, Nian, Qiong1, Qiong.Nian@asu.edu, Zhuang, Houlong1, zhuanghl@asu.edu
Source: Journal of the American Ceramic Society; Aug2025, Vol. 108 Issue 8, p1-18, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185660132
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN interfaces.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Ceramic+Society%22">Journal of the American Ceramic Society</searchLink>; Aug2025, Vol. 108 Issue 8, p1-18, 18p
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jace.20590
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1
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      – TitleFull: Combining reinforcement learning with graph convolutional neural networks for efficient design of TiAl/TiAlN interfaces.
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            NameFull: Jiang, Xinyu
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            NameFull: Sun, Haofan
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            NameFull: Nian, Qiong
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            NameFull: Zhuang, Houlong
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 108
            – Type: issue
              Value: 8
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            – TitleFull: Journal of the American Ceramic Society
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