Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning - Université de technologie de Compiègne Access content directly
Journal Articles Computational Materials Science Year : 2024
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hal-04445491 , version 1 (08-02-2024)

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Jianqiang Jin, Ludovic Cauvin, Balaji Raghavan, Piotr Breitkopf, Subhrajit Dutta, et al.. Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning. Computational Materials Science, 2024, 235, pp.112834. ⟨10.1016/j.commatsci.2024.112834⟩. ⟨hal-04445491⟩
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