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20172022
most citedLow-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

175 citations · 245 across the 9 of their papers we have counts for

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physics.app-ph20193 cited

Maximized Lateral Inhibition in Paired Magnetic Domain Wall Racetracks for Neuromorphic Computing

C. Cui, O. G. Akinola, N. Hassan +4

Lateral inhibition is an important functionality in neuromorphic computing, modeled after the biological neuron behavior that a firing neuron deactivates its neighbors belonging to…

physics.app-ph2019

Shape-based Magnetic Domain Wall Drift for an Artificial Spintronic Leaky Integrate-and-Fire Neuron

Wesley H. Brigner, Naimul Hassan, Lucian Jiang-Wei +7

Spintronic devices based on domain wall (DW) motion through ferromagnetic nanowire tracks have received great interest as components of neuromorphic information processing systems.…

physics.app-ph2019

Toggle Spin-Orbit Torque MRAM with Perpendicular Magnetic Anisotropy

Naimul Hassan, Susana P. Lainez-Garcia, Felipe Garcia-Sanchez +1

Spin-orbit torque (SOT) is a promising switching mechanism for magnetic random-access memory (MRAM) as a result of the potential for improved switching speed and energy-efficiency.…

physics.app-ph2018

Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions

Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +4

Many emerging alternative models of computation require massive numbers of random bits, but their generation at low energy is currently a challenge. The superparamagnetic tunnel ju…

physics.app-ph2017175 cited

Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +10

Low-energy random number generation is critical for many emerging computing schemes proposed to complement or replace von Neumann architectures. However, current random number gene…