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...
E3S Theme IV: Nanomagnetics eBook
Papers | 20 Jul 2020 | Contributor(s):: Center for Energy Efficient Electronics Science, Jeffrey Bokor, Jyotirmoy Chatterjee, Sakhrat Khizroev, Xiang (Shaun) Li, Brayan Ricardo Navarrete, Akshay Pattabi, Shehrin Sayed, Sayeef Salahuddin, Dennis Toledo, Ingrid Torres, Shan X. Wang
This eBook was written by faculty, postdoctoral researchers, students, and staff of the Center for Energy Efficient Electronics Science (E3S), a Science and Technology Center funded by the U. S. National Science Foundation (Award 0939514). The Center is a consortium of five world-class academic...