Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations.
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| Title: | Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations. |
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| Authors: | Thomas A; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany. akhil.thomas@iwm.fraunhofer.de.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany. akhil.thomas@iwm.fraunhofer.de., Durmaz AR; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany., Alam M; Télécom Paris, Institut Polytechnique de Paris, Paris, France., Gumbsch P; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Institute for Applied Materials-Reliability and Microstructure (IAM-ZM), Karlsruhe Institute of Technology, Karlsruhe, Germany., Sack H; FIZ Karlsruhe-Leibniz Institute for Information Infrastructure, Karlsruhe, Germany.; Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany., Eberl C; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany. |
| Source: | Scientific reports [Sci Rep] 2023 Aug 21; Vol. 13 (1), pp. 13598. Date of Electronic Publication: 2023 Aug 21. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37604997 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Thomas+A%22">Thomas A</searchLink>; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany. akhil.thomas@iwm.fraunhofer.de.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany. akhil.thomas@iwm.fraunhofer.de.<br /><searchLink fieldCode="AU" term="%22Durmaz+AR%22">Durmaz AR</searchLink>; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany.<br /><searchLink fieldCode="AU" term="%22Alam+M%22">Alam M</searchLink>; Télécom Paris, Institut Polytechnique de Paris, Paris, France.<br /><searchLink fieldCode="AU" term="%22Gumbsch+P%22">Gumbsch P</searchLink>; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Institute for Applied Materials-Reliability and Microstructure (IAM-ZM), Karlsruhe Institute of Technology, Karlsruhe, Germany.<br /><searchLink fieldCode="AU" term="%22Sack+H%22">Sack H</searchLink>; FIZ Karlsruhe-Leibniz Institute for Information Infrastructure, Karlsruhe, Germany.; Institute for Applied Informatics and Formal Description Systems (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany.<br /><searchLink fieldCode="AU" term="%22Eberl+C%22">Eberl C</searchLink>; Fraunhofer Institute for Mechanics of Materials, Freiburg, Germany.; Chair of Micro and Materials Mechanics, Department of Microsystems, University of Freiburg, Freiburg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2023 Aug 21; Vol. 13 (1), pp. 13598. <i>Date of Electronic Publication: </i>2023 Aug 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37604997 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-023-40772-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 13598 Titles: – TitleFull: Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thomas A – PersonEntity: Name: NameFull: Durmaz AR – PersonEntity: Name: NameFull: Alam M – PersonEntity: Name: NameFull: Gumbsch P – PersonEntity: Name: NameFull: Sack H – PersonEntity: Name: NameFull: Eberl C IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 08 Text: 2023 Aug 21 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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