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A data-informed knowledge discovery framework to predict fatigue properties of additively manufactured Ti–6Al–4V, IN718 and AlSi10Mg alloys using fatigue databases

Crossref DOI link: https://doi.org/10.1007/s40964-025-00965-1

Published Online: 2025-01-25

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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