The Strong Sensitivity of the Characteristics of Binary Stochastic Neurons Employing Low Barrier Nanomagnets to Small Geometrical Variations
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://ieeexplore.ieee.org/ielam/7729/10016255/10041954-aam.pdf
Reference26 articles.
1. Metastable state in a shape-anisotropic single-domain nanomagnet subjected to spin-transfer-torque
2. An observable effect of spin inertia in slow magneto-dynamics: Increase of the switching error rates in nanoscale ferromagnets
3. Inertial spin dynamics in ferromagnets
4. Magnetization dynamics, gyromagnetic relation, and inertial effects
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1. Reconfigurable stochastic neurons based on strain engineered low barrier nanomagnets;Nanotechnology;2024-05-23
2. Increasing Flips per Second and Speed of p-Computers by Using Dilute Magnetic Semiconductors;IEEE Magnetics Letters;2023
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