Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches.
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| Title: | Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches. |
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| Authors: | Parvizi, Pooya1, Amidi, Alireza Mohammadi2,3, Zangeneh, Mohammad Reza3, Beigrezaee, Mohammad Javad3,4, Riba, Jordi-Roger4,5, jordi.riba-ruiz@upc.edu, Jalilian, Milad1,3,5 |
| Source: | Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4830, 26p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194142224 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16104830 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 4830 Titles: – TitleFull: Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Parvizi, Pooya – PersonEntity: Name: NameFull: Amidi, Alireza Mohammadi – PersonEntity: Name: NameFull: Zangeneh, Mohammad Reza – PersonEntity: Name: NameFull: Beigrezaee, Mohammad Javad – PersonEntity: Name: NameFull: Riba, Jordi-Roger – PersonEntity: Name: NameFull: Jalilian, Milad IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 10 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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