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Study on Prediction of Ladle Furnace Refining End-Point Slag Composition Based on Machine Learning.

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Title: Study on Prediction of Ladle Furnace Refining End-Point Slag Composition Based on Machine Learning.
Authors: Lan, Mo1, d202210654@xs.ustb.edu.cn, Chen, Hong-zhi1, d202410687@xs.ustb.edu.cn, Xin, Zi-cheng1, sklxzc@163.com, Lin, Wen-hui2, every18@163.com, Chang, Hai3, changhai@ceri.com.cn, Zhang, Jiang-shan1, zjsustb@163.com, Liu, Qing1, qliu@ustb.edu.cn
Source: Metallurgical & Materials Transactions. Part B; Jun2026, Vol. 57 Issue 6, p3194-3210, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193651613
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Study on Prediction of Ladle Furnace Refining End-Point Slag Composition Based on Machine Learning.
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  Data: <searchLink fieldCode="AU" term="%22Lan%2C+Mo%22">Lan, Mo</searchLink><relatesTo>1</relatesTo>, <i>d202210654@xs.ustb.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Hong-zhi%22">Chen, Hong-zhi</searchLink><relatesTo>1</relatesTo>, <i>d202410687@xs.ustb.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Xin%2C+Zi-cheng%22">Xin, Zi-cheng</searchLink><relatesTo>1</relatesTo>, <i>sklxzc@163.com</i><br /><searchLink fieldCode="AU" term="%22Lin%2C+Wen-hui%22">Lin, Wen-hui</searchLink><relatesTo>2</relatesTo>, <i>every18@163.com</i><br /><searchLink fieldCode="AU" term="%22Chang%2C+Hai%22">Chang, Hai</searchLink><relatesTo>3</relatesTo>, <i>changhai@ceri.com.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jiang-shan%22">Zhang, Jiang-shan</searchLink><relatesTo>1</relatesTo>, <i>zjsustb@163.com</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Qing%22">Liu, Qing</searchLink><relatesTo>1</relatesTo>, <i>qliu@ustb.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Metallurgical+%26+Materials+Transactions%2E+Part+B%22">Metallurgical & Materials Transactions. Part B</searchLink>; Jun2026, Vol. 57 Issue 6, p3194-3210, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193651613
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11663-026-04043-x
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 3194
    Titles:
      – TitleFull: Study on Prediction of Ladle Furnace Refining End-Point Slag Composition Based on Machine Learning.
        Type: main
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      – PersonEntity:
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            NameFull: Lan, Mo
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            NameFull: Chen, Hong-zhi
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            NameFull: Xin, Zi-cheng
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            NameFull: Lin, Wen-hui
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            NameFull: Chang, Hai
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            NameFull: Zhang, Jiang-shan
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            NameFull: Liu, Qing
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 10735615
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              Value: 57
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              Value: 6
          Titles:
            – TitleFull: Metallurgical & Materials Transactions. Part B
              Type: main
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