View in EDS HTML Full Text PDF Full Text

Intermolecular Non-Bonded Interactions from Machine Learning Datasets.

Saved in:
Bibliographic Details
Title: Intermolecular Non-Bonded Interactions from Machine Learning Datasets.
Authors: Chen, Jia-An1 (AUTHOR) r08543055@ntu.edu.tw, Chao, Sheng D.1,2 (AUTHOR) sdchao@iam.ntu.edu.tw
Source: Molecules. Dec2023, Vol. 28 Issue 23, p7900. 17p.
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: 174112869
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Intermolecular Non-Bonded Interactions from Machine Learning Datasets.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Jia-An%22">Chen, Jia-An</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r08543055@ntu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chao%2C+Sheng+D%2E%22">Chao, Sheng D.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sdchao@iam.ntu.edu.tw</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Molecules%22">Molecules</searchLink>. Dec2023, Vol. 28 Issue 23, p7900. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174112869
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/molecules28237900
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 7900
    Titles:
      – TitleFull: Intermolecular Non-Bonded Interactions from Machine Learning Datasets.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Jia-An
      – PersonEntity:
          Name:
            NameFull: Chao, Sheng D.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 14203049
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 23
          Titles:
            – TitleFull: Molecules
              Type: main
ResultId 1