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Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach.

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Title: Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach.
Authors: Liang, Chuansheng1,2, Cheng, Peng1,2, chengpeng0123z@163.com, Shao, Chenxi1,2
Source: Metals (2075-4701); Feb2026, Vol. 16 Issue 2, p163, 31p
Database: Applied Science & Technology Source
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An: 192036022
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        Value: 10.3390/met16020163
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      – Code: eng
        Text: English
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        StartPage: 163
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      – TitleFull: Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach.
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            NameFull: Liang, Chuansheng
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            NameFull: Cheng, Peng
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              Text: Feb2026
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              Y: 2026
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