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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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2024-01-01
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| Seri Bilgileri: | npj Computational Materials |
| Online Erişim: | https://doi.org/10.1038/s41524-024-01212-x |
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