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...

Scientific Text-Based Machine Learning

Downloads | 02 Nov 2023 | Contributor(s): Shehrin Sayed

Please note that this page is under development and information provided may change. Introduction: Machine learning is undoubtedly a useful tool and is gradually changing how we function in everyday life. The application of this powerful tool in materials and devices research may have...

Modular Spintronics Library

Downloads | 09 May 2013 | Contributor(s): Kerem Yunus Camsari, Samiran Ganguly, Shehrin Sayed, Supriyo Datta

A library of elemental spintronic modules in three langauages, MATLAB, SPICE, Verilog-A. These modules: Have been carefully benchmarked against available theoretical simulations and/or experimental data. Represent a multiphysics framework incorporating a wide range of physical models such as NEGF...