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Machine Learning-Assisted Optimization of Ultrasonic Dispersion Parameters for Graphene Nanoribbons in Paint Solvents: a Statistical Analysis.

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Title: Machine Learning-Assisted Optimization of Ultrasonic Dispersion Parameters for Graphene Nanoribbons in Paint Solvents: a Statistical Analysis.
Authors: Nguyen, Manh Huan1, huannm.pvpro@vpi.pvn.vn, Nguyen, Huynh Hung My1, Huynh, Minh Thuan1, Quoc, Binh Phan Minh1, Pham, Ngoc Kien1, Nguyen, Thanh Sang1
Source: CET Journal - Chemical Engineering Transactions; 2025, Vol. 119, p511-516, 6p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189631275
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Machine Learning-Assisted Optimization of Ultrasonic Dispersion Parameters for Graphene Nanoribbons in Paint Solvents: a Statistical Analysis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189631275
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3303/CET25119086
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 511
    Titles:
      – TitleFull: Machine Learning-Assisted Optimization of Ultrasonic Dispersion Parameters for Graphene Nanoribbons in Paint Solvents: a Statistical Analysis.
        Type: main
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            NameFull: Nguyen, Manh Huan
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            NameFull: Nguyen, Huynh Hung My
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            NameFull: Huynh, Minh Thuan
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            NameFull: Quoc, Binh Phan Minh
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            NameFull: Pham, Ngoc Kien
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            NameFull: Nguyen, Thanh Sang
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            – D: 01
              M: 09
              Text: 2025
              Type: published
              Y: 2025
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              Value: 119
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            – TitleFull: CET Journal - Chemical Engineering Transactions
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