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Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model.

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Title: Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model.
Authors: Su, Chenguang1, Chen, Huashun2, Lan, Peng1, lanpeng@ustb.edu.cn, Zhang, Liang1, Wang, Cheng1
Source: Metallurgical & Materials Transactions. Part B; Jun2026, Vol. 57 Issue 6, p3108-3132, 25p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193651608
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model.
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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, p3108-3132, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193651608
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      – Type: doi
        Value: 10.1007/s11663-026-04038-8
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 3108
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      – TitleFull: Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model.
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            NameFull: Su, Chenguang
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            NameFull: Chen, Huashun
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            NameFull: Lan, Peng
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 57
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            – TitleFull: Metallurgical & Materials Transactions. Part B
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