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Prediction of mechanical properties and microstructure of dual-phase steel based on deep learning method.

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Title: Prediction of mechanical properties and microstructure of dual-phase steel based on deep learning method.
Authors: Ya, Xingwei1, Pan, Haijun1, phjuning@163.com, Tao, Wenyu1, Tang, Yewei2, Yuan, Jinsheng2, Zang, Feifan3, Cai, Lanlan4, Zhu, Bin4
Source: Journal of Materials Science; Aug2025, Vol. 60 Issue 29, p12574-12591, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186911729
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction of mechanical properties and microstructure of dual-phase steel based on deep learning method.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10853-025-11185-x
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 12574
    Titles:
      – TitleFull: Prediction of mechanical properties and microstructure of dual-phase steel based on deep learning method.
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          Name:
            NameFull: Ya, Xingwei
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            NameFull: Pan, Haijun
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            NameFull: Tao, Wenyu
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            NameFull: Tang, Yewei
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            NameFull: Yuan, Jinsheng
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            NameFull: Zang, Feifan
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            NameFull: Cai, Lanlan
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            NameFull: Zhu, Bin
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          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 29
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            – TitleFull: Journal of Materials Science
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