Prediction of coating thickness for polyelectrolyte multilayers via machine learning.

Saved in:
Bibliographic Details
Title: Prediction of coating thickness for polyelectrolyte multilayers via machine learning.
Authors: Gribova, Varvara1,2 (AUTHOR), Navalikhina, Anastasiia3 (AUTHOR), Lysenko, Oleksandr3 (AUTHOR), Calligaro, Cynthia4 (AUTHOR), Lebaudy, Eloïse1,2 (AUTHOR), Deiber, Lucie4 (AUTHOR), Senger, Bernard1,2 (AUTHOR), Lavalle, Philippe1,2,4 (AUTHOR), Vrana, Nihal Engin4 (AUTHOR) evrana@sparthamedical.eu
Source: Scientific Reports. 9/21/2021, Vol. 11 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 152559653
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Prediction of coating thickness for polyelectrolyte multilayers via machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gribova%2C+Varvara%22">Gribova, Varvara</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Navalikhina%2C+Anastasiia%22">Navalikhina, Anastasiia</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lysenko%2C+Oleksandr%22">Lysenko, Oleksandr</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Calligaro%2C+Cynthia%22">Calligaro, Cynthia</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lebaudy%2C+Eloïse%22">Lebaudy, Eloïse</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deiber%2C+Lucie%22">Deiber, Lucie</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Senger%2C+Bernard%22">Senger, Bernard</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lavalle%2C+Philippe%22">Lavalle, Philippe</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vrana%2C+Nihal+Engin%22">Vrana, Nihal Engin</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> evrana@sparthamedical.eu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 9/21/2021, Vol. 11 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=152559653
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-021-98170-x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1
    Titles:
      – TitleFull: Prediction of coating thickness for polyelectrolyte multilayers via machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gribova, Varvara
      – PersonEntity:
          Name:
            NameFull: Navalikhina, Anastasiia
      – PersonEntity:
          Name:
            NameFull: Lysenko, Oleksandr
      – PersonEntity:
          Name:
            NameFull: Calligaro, Cynthia
      – PersonEntity:
          Name:
            NameFull: Lebaudy, Eloïse
      – PersonEntity:
          Name:
            NameFull: Deiber, Lucie
      – PersonEntity:
          Name:
            NameFull: Senger, Bernard
      – PersonEntity:
          Name:
            NameFull: Lavalle, Philippe
      – PersonEntity:
          Name:
            NameFull: Vrana, Nihal Engin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 09
              Text: 9/21/2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 20452322
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific Reports
              Type: main
ResultId 1