activity
20222026
most citedStochastic magnetic actuated random transducer devices based on perpendicular magnetic tunnel junctions

37 citations · 45 across the 6 of their papers we have counts for

collaborators

7 papers

physics.app-ph2026

Revealing Detailed Transport Mechanisms in Silicon Tunneling Diodes

Juan P. Mendez, Xujiao Gao, Sungjae Hong +3

Understanding carrier transport in heavily doped semiconductor junctions is essential for developing next-generation tunneling devices for cryogenic electronics and steep-slope tec…

physics.app-ph2025★ 6 cited

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…

cond-mat.mes-hall2024

Exploring transport mechanisms in atomic precision advanced manufacturing enabled pn junctions

Juan P. Mendez, Xujiao Gao, Jeffrey Ivie +4

We investigate the different transport mechanisms that can occur in pn junction devices made using atomic precision advanced manufacturing (APAM) at temperatures ranging from cryog…

cond-mat.mes-hall2023

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…

cond-mat.mes-hall2023

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…

cs.ET2022★ 2 cited

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation

Suma G. Cardwell, Catherine D. Schuman, J. Darby Smith +7

Stochasticity is ubiquitous in the world around us. However, our predominant computing paradigm is deterministic. Random number generation (RNG) can be a computationally inefficien…

physics.app-ph2022★ 37 cited

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…