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Predicting the Thermal Conductivity of Structural Materials Under Lead–Bismuth Corrosion Based on Machine Learning.

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Bibliographic Details
Title: Predicting the Thermal Conductivity of Structural Materials Under Lead–Bismuth Corrosion Based on Machine Learning.
Authors: Gao, Xinxin1,2 (AUTHOR), Zeng, Xian2 (AUTHOR) zeng.xian12@163.com
Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 12, p2639. 19p.
Database: Academic Search Ultimate
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  Data: Predicting the Thermal Conductivity of Structural Materials Under Lead–Bismuth Corrosion Based on Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Jun2026, Vol. 19 Issue 12, p2639. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194907713
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        Value: 10.3390/ma19122639
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        Text: English
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        PageCount: 19
        StartPage: 2639
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      – TitleFull: Predicting the Thermal Conductivity of Structural Materials Under Lead–Bismuth Corrosion Based on Machine Learning.
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            NameFull: Gao, Xinxin
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              Text: Jun2026
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              Y: 2026
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