99 citations · 157 across the 11 of their papers we have counts for
6 papers · 1 filter
Temperature-Resilient True Random Number Generation with Stochastic Actuated Magnetic Tunnel Junction Devices
Laura Rehm, Md Golam Morshed, Shashank Misra +5
Nanoscale magnetic tunnel junction (MTJ) devices can efficiently convert thermal energy in the environment into random bitstreams for computational modeling and cryptography. We re…
Reduced sensitivity to process, voltage and temperature variations in activated perpendicular magnetic tunnel junctions based stochastic devices
Md Golam Morshed, Laura Rehm, Ankit Shukla +5
True random number generators (TRNGs) are fundamental building blocks for many applications, such as cryptography, Monte Carlo simulations, neuromorphic computing, and probabilisti…
Phase Change Induced Magnetic Switching through Metal-insulator Transition in VO2/TbFeCo Films
Chung T. Ma, Salinporn Kittiwatnakul, Apiprach Sittipongpittaya +4
The ability to manipulate spins in magnetic materials is essential in designing spintronics devices. One method for magnetic switching is through strain. In VO2 on TiO2 thin films,…
A True Random Number Generator for Probabilistic Computing using Stochastic Magnetic Actuated Random Transducer Devices
Ankit Shukla, Laura Heller, Md Golam Morshed +4
Magnetic tunnel junctions (MTJs), which are the fundamental building blocks of spintronic devices, have been used to build true random number generators (TRNGs) with different trad…
A Deep Dive into the Computational Fidelity of High Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems
Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh
Low energy barrier magnet (LBM) technology has recently been proposed as a candidate for accelerating algorithms based on energy minimization and probabilistic graphs because their…
Choose your tools carefully: A Comparative Evaluation of Deterministic vs. Stochastic and Binary vs. Analog Neuron models for Implementing Emerging Computing Paradigms
Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh
Neuromorphic computing, commonly understood as a computing approach built upon neurons, synapses, and their dynamics, as opposed to Boolean gates, is gaining large mindshare due to…