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Addressing materials’ microstructure diversity using transfer learningnpj Computational Materials, 2022, 8 (1), pp.27. ⟨10.1038/s41524-022-00703-z⟩
Journal articles
hal-03642883v1
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Addressing materials’ microstructure diversity using transfer learningnpj Computational Materials, 2022, 8 (1), pp.27. ⟨10.1038/s41524-022-00703-z⟩
Journal articles
hal-04023238v1
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Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materialsnpj Computational Materials, 2018, 4 (1), 10 p. ⟨10.1038/s41524-018-0094-7⟩
Journal articles
hal-01869114v1
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