Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys
Abstract Twin nucleation in textured Mg alloys was studied by means of electron back-scattered diffraction in samples deformed in tension along different orientations in more than 3000 grains. In addition, 28 relevant parameters, categorized in four different groups (loading condition, grain shape,...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2024-01-01
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| Col·lecció: | npj Computational Materials |
| Accés en línia: | https://doi.org/10.1038/s41524-024-01212-x |
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