DESIGNED MONOMERS AND POLYMERS - Journal - Bridge of Knowledge

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DESIGNED MONOMERS AND POLYMERS

ISSN:

1385-772X

eISSN:

1568-5551

Disciplines
(Field of Science):

  • biomedical engineering (Engineering and Technology)
  • chemical engineering (Engineering and Technology)
  • materials engineering (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • pharmacology and pharmacy (Medical and Health Sciences )
  • agriculture and horticulture (Agricultural sciences)
  • biotechnology (Natural sciences)
  • chemical sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 40 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 40 Ministry scored journals list 2024
2023 40 Ministry Scored Journals List
2022 40 Ministry Scored Journals List 2019-2022
2021 40 Ministry Scored Journals List 2019-2022
2020 40 Ministry Scored Journals List 2019-2022
2019 40 Ministry Scored Journals List 2019-2022
2018 30 A
2017 30 A
2016 20 A
2015 30 A
2014 25 A
2013 20 A
2012 20 A
2011 20 A
2010 20 A

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 3.3
Points CiteScore - previous years
Year Points
2023 3.3
2022 4.2
2021 3.4
2020 4.3
2019 3.7
2018 2.9
2017 2.8
2016 2.6
2015 2.9
2014 2.9
2013 2.3
2012 2.3
2011 1.7

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Papers published in journal

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total: 1

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Catalog Journals

Year 2017
  • Controlled grafting of vinylic monomers on polyolefins: a robust mathematical modeling approach
    Publication
    • M. Saeb
    • B. Rezaee
    • A. Shadman
    • K. Formela
    • Z. Ahmadi
    • F. Hemmati
    • T. Kermaniyan
    • Y. Mohammadi

    - DESIGNED MONOMERS AND POLYMERS - Year 2017

    Experimental and mathematical modeling analyses were used for controlling melt free-radical grafting of vinylic monomers on polyolefins and, thereby, reducing the disturbance of undesired cross-linking of polyolefins. Response surface, desirability function, and artificial intelligence methodologies were blended to modeling/optimization of grafting reaction in terms of vinylic monomer content, peroxide initiator concentration,...

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