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Designing nickel-based superalloys with high creep life and low thermal expansion coefficient using machine learning assisted by multi-objective optimization.

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Title: Designing nickel-based superalloys with high creep life and low thermal expansion coefficient using machine learning assisted by multi-objective optimization.
Authors: Zhu, Yao1, Peng, Wangjun2, wangjunp@sjtu.edu.cn.com, Du, Dafan2, dafand@sjtu.edu.cn, Dong, Anping2, Sun, Baode2, Jiang, Pingguo1
Source: Journal of Materials Science; Jun2025, Vol. 60 Issue 23, p9743-9757, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185943320
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Designing nickel-based superalloys with high creep life and low thermal expansion coefficient using machine learning assisted by multi-objective optimization.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Materials+Science%22">Journal of Materials Science</searchLink>; Jun2025, Vol. 60 Issue 23, p9743-9757, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185943320
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10853-025-10872-z
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 9743
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      – TitleFull: Designing nickel-based superalloys with high creep life and low thermal expansion coefficient using machine learning assisted by multi-objective optimization.
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            NameFull: Zhu, Yao
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            NameFull: Peng, Wangjun
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            NameFull: Du, Dafan
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            NameFull: Dong, Anping
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            NameFull: Sun, Baode
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            NameFull: Jiang, Pingguo
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            – D: 15
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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