1 citations · 2 across the 4 of their papers we have counts for
4 papers
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
Karan P. Patel, Andrew Maicke, Jared Arzate +6
Novel devices and novel computing paradigms are key for energy efficient, performant future computing systems. However, designing devices for new applications is often time consumi…
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron
Can Cui1, Sam Liu, Jaesuk Kwon +1
In spiking neural networks, neuron dynamics are described by the biologically realistic integrate-and-fire model that captures membrane potential accumulation and above-threshold f…
Low voltage local strain enhanced switching of magnetic tunnel junctions
Suyogya Karki, Jaesuk Kwon, Joe Davies +5
Strain-controlled modulation of the magnetic switching behavior in magnetic tunnel junctions (MTJs) could provide the energy efficiency needed to accelerate the use of MTJs in memo…
Magnetic Tunnel Junction Random Number Generators Applied to Dynamically Tuned Probability Trees Driven by Spin Orbit Torque
Andrew Maicke, Jared Arzate, Samuel Liu +7
Perpendicular magnetic tunnel junction (pMTJ)-based true-random number generators (RNG) can consume orders of magnitude less energy per bit than CMOS pseudo-RNG. Here, we numerical…