View in EDS HTML Full Text PDF Full Text

Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.

Saved in:
Bibliographic Details
Title: Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.
Authors: Sheikhshoaei, Amir Hossein1 (AUTHOR), Sodeifian, Gholamhossein2,3,4 (AUTHOR) sodeifian@kashanu.ac.ir
Source: Scientific Reports. 11/17/2025, Vol. 15 Issue 1, p1-18. 18p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 189389963
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sheikhshoaei%2C+Amir+Hossein%22">Sheikhshoaei, Amir Hossein</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sodeifian%2C+Gholamhossein%22">Sodeifian, Gholamhossein</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<i> sodeifian@kashanu.ac.ir</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/17/2025, Vol. 15 Issue 1, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189389963
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-025-24006-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Titles:
      – TitleFull: Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sheikhshoaei, Amir Hossein
      – PersonEntity:
          Name:
            NameFull: Sodeifian, Gholamhossein
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 17
              M: 11
              Text: 11/17/2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 20452322
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific Reports
              Type: main
ResultId 1