Practical sparse data-driven constitutive modeling via transfer learning in physics-encoded neural networks.
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| Title: | Practical sparse data-driven constitutive modeling via transfer learning in physics-encoded neural networks. |
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| Authors: | Wang, Zhihui1 (AUTHOR) zhihui.wang@tum.de, Cudmani, Roberto1 (AUTHOR) |
| Source: | Scientific Reports. 1/6/2026, Vol. 16 Issue 1, p1-20. 20p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190712610 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Practical sparse data-driven constitutive modeling via transfer learning in physics-encoded neural networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Zhihui%22">Wang, Zhihui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhihui.wang@tum.de</i><br /><searchLink fieldCode="AR" term="%22Cudmani%2C+Roberto%22">Cudmani, Roberto</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 1/6/2026, Vol. 16 Issue 1, p1-20. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190712610 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-34925-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Practical sparse data-driven constitutive modeling via transfer learning in physics-encoded neural networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Zhihui – PersonEntity: Name: NameFull: Cudmani, Roberto IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 01 Text: 1/6/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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