Enhancing geopolymer concrete strength with sodium hydroxide using Gegenbauer graph neural networks approach.
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| Title: | Enhancing geopolymer concrete strength with sodium hydroxide using Gegenbauer graph neural networks approach. |
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| Authors: | S., Ramakrishnan1, ramakrishnans@skcet.ac.in, Sundararajan, Rajeshkannan2, Ramya, V.3, Elangovan, M.4 |
| Source: | International Journal of Polymer Analysis & Characterization; Oct2025, Vol. 30 Issue 7, p761-776, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188286319 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing geopolymer concrete strength with sodium hydroxide using Gegenbauer graph neural networks approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22S%2E%2C+Ramakrishnan%22">S., Ramakrishnan</searchLink><relatesTo>1</relatesTo>, <i>ramakrishnans@skcet.ac.in</i><br /><searchLink fieldCode="AU" term="%22Sundararajan%2C+Rajeshkannan%22">Sundararajan, Rajeshkannan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ramya%2C+V%2E%22">Ramya, V.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Elangovan%2C+M%2E%22">Elangovan, M.</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Polymer+Analysis+%26+Characterization%22">International Journal of Polymer Analysis & Characterization</searchLink>; Oct2025, Vol. 30 Issue 7, p761-776, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188286319 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/1023666X.2025.2490782 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 761 Titles: – TitleFull: Enhancing geopolymer concrete strength with sodium hydroxide using Gegenbauer graph neural networks approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: S., Ramakrishnan – PersonEntity: Name: NameFull: Sundararajan, Rajeshkannan – PersonEntity: Name: NameFull: Ramya, V. – PersonEntity: Name: NameFull: Elangovan, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1023666X Numbering: – Type: volume Value: 30 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Polymer Analysis & Characterization Type: main |
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