View in EDS

Interpretable machine learning models for evaluating strength of ternary geopolymers.

Saved in:
Bibliographic Details
Title: Interpretable machine learning models for evaluating strength of ternary geopolymers.
Authors: Zhang, Junfei1, junfeizhang@hebut.edu.cn, Cheng, Huisheng1, Sun, Ninghui2, 1172593203@qq.com, Huo, Zehui3, Chen, Junlin4, junlinchen211@gmail.com
Source: Artificial Intelligence in Geosciences; Dec2025, Vol. 6 Issue 2, p1-13, 13p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192583714
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Interpretable machine learning models for evaluating strength of ternary geopolymers.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Junfei%22">Zhang, Junfei</searchLink><relatesTo>1</relatesTo>, <i>junfeizhang@hebut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Cheng%2C+Huisheng%22">Cheng, Huisheng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Sun%2C+Ninghui%22">Sun, Ninghui</searchLink><relatesTo>2</relatesTo>, <i>1172593203@qq.com</i><br /><searchLink fieldCode="AU" term="%22Huo%2C+Zehui%22">Huo, Zehui</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Junlin%22">Chen, Junlin</searchLink><relatesTo>4</relatesTo>, <i>junlinchen211@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+in+Geosciences%22">Artificial Intelligence in Geosciences</searchLink>; Dec2025, Vol. 6 Issue 2, p1-13, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192583714
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.aiig.2025.100128
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1
    Titles:
      – TitleFull: Interpretable machine learning models for evaluating strength of ternary geopolymers.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Junfei
      – PersonEntity:
          Name:
            NameFull: Cheng, Huisheng
      – PersonEntity:
          Name:
            NameFull: Sun, Ninghui
      – PersonEntity:
          Name:
            NameFull: Huo, Zehui
      – PersonEntity:
          Name:
            NameFull: Chen, Junlin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 26665441
          Numbering:
            – Type: volume
              Value: 6
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Artificial Intelligence in Geosciences
              Type: main
ResultId 1