ECE 659: Quantum Transport
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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...
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...
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...
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