37 citations · 48 across the 5 of their papers we have counts for
5 papers
High-Speed Tunable Generation of Random Number Distributions Using Actuated Perpendicular Magnetic Tunnel Junctions
Ahmed Sidi El Valli, Michael Tsao, J. Darby Smith +2
Perpendicular magnetic tunnel junctions (pMTJs) actuated by nanosecond pulses are emerging as promising devices for true random number generation (TRNG) due to their intrinsic stoc…
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…
A Stochastic Calculus Approach to Boltzmann Transport
J. Darby Smith, Rich Lehoucq, Brian Franke
Traditional Monte Carlo methods for particle transport utilize source iteration to express the solution, the flux density, of the transport equation as a Neumann series. Our contri…
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…
Stochastic magnetic actuated random transducer devices based on perpendicular magnetic tunnel junctions
Laura Rehm, Corrado Carlo Maria Capriata, Misra Shashank +4
True random number generators are of great interest in many computing applications such as cryptography, neuromorphic systems and Monte Carlo simulations. Here we investigate perpe…