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1. Supplementary Data for "An unsupervised machine learning based approach to identify efficient spin-orbit torque materials"

   Downloads | 18 Feb 2024 | Contributor(s):: Shehrin Sayed, Hannah Kleidermacher, Giulianna Hashemi-Asasi, Cheng-Hsiang Hsu, Sayeef Salahuddin

   Introduction:There has been a growing interest in materials with large spin-orbit torques (SOT) for many novel applications, and in our article [1], which is currently under review, we have shown that a machine-learning-based approach using a word embedding model can predict...