From RVE Data to Auxetic Design Rules: Interpretable Feature Analysis and Machine Learning-Based Modeling of Microstructured Materials.
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| Title: | From RVE Data to Auxetic Design Rules: Interpretable Feature Analysis and Machine Learning-Based Modeling of Microstructured Materials. |
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| Authors: | Hüls, Alexander1 (AUTHOR), Alheit, Benjamin2,3 (AUTHOR), Bargmann, Swantje3,4,5 (AUTHOR) bargmann@uni-wuppertal.de |
| Source: | Mathematical & Computational Applications. Jun2026, Vol. 31 Issue 3, p77. 22p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 194914379 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=194914379 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/mca31030077 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 77 Titles: – TitleFull: From RVE Data to Auxetic Design Rules: Interpretable Feature Analysis and Machine Learning-Based Modeling of Microstructured Materials. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hüls, Alexander – PersonEntity: Name: NameFull: Alheit, Benjamin – PersonEntity: Name: NameFull: Bargmann, Swantje IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1300686X Numbering: – Type: volume Value: 31 – Type: issue Value: 3 Titles: – TitleFull: Mathematical & Computational Applications Type: main |
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