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Bridging machine learning and glassy dynamics theory for predictive polymer modeling.

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Title: Bridging machine learning and glassy dynamics theory for predictive polymer modeling.
Authors: Phan, Anh D.1,2, anh.phanduc@phenikaa-uni.edu.vn, Que, Ngo T.2, Duyen, Nguyen T. T.1, Thanh Viet, Phan3, Quang, Quach K.3, Mei, Baicheng4
Source: Journal of Applied Physics; 7/28/2025, Vol. 138 Issue 4, p1-12, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187072647
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Physics%22">Journal of Applied Physics</searchLink>; 7/28/2025, Vol. 138 Issue 4, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187072647
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1063/5.0280443
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
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      – TitleFull: Bridging machine learning and glassy dynamics theory for predictive polymer modeling.
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            NameFull: Phan, Anh D.
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            NameFull: Que, Ngo T.
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            NameFull: Duyen, Nguyen T. T.
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            NameFull: Thanh Viet, Phan
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            NameFull: Quang, Quach K.
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            NameFull: Mei, Baicheng
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            – D: 28
              M: 07
              Text: 7/28/2025
              Type: published
              Y: 2025
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              Value: 138
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