Spintronic devices for high-density memory and neuromorphic computing–A review
Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …
take advantage of the electron's “spin” to go beyond charge based devices. The most …
Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing
CMOS-based computing systems that employ the von Neumann architecture are relatively
limited when it comes to parallel data storage and processing. In contrast, the human brain …
limited when it comes to parallel data storage and processing. In contrast, the human brain …
Shape‐dependent multi‐weight magnetic artificial synapses for neuromorphic computing
In neuromorphic computing, artificial synapses provide a multi‐weight (MW) conductance
state that is set based on inputs from neurons, analogous to the brain. Herein, artificial …
state that is set based on inputs from neurons, analogous to the brain. Herein, artificial …
[HTML][HTML] A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks
Inspired by the parallelism and efficiency of the brain, several candidates for artificial
synapse devices have been developed for neuromorphic computing, yet a nonlinear and …
synapse devices have been developed for neuromorphic computing, yet a nonlinear and …
[HTML][HTML] Domain wall-magnetic tunnel junction spin–orbit torque devices and circuits for in-memory computing
There are pressing problems with traditional computing, especially for accomplishing data-
intensive and real-time tasks, that motivate the development of in-memory computing …
intensive and real-time tasks, that motivate the development of in-memory computing …
Demonstration of synaptic behavior in a heavy-metal-ferromagnetic-metal-oxide-heterostructure-based spintronic device for on-chip learning in crossbar-array-based …
Nanomagnetic and spintronic devices, which make use of physical phenomena in materials
and interfaces like perpendicular magnetic anisotropy (PMA) and spin–orbit torque (SOT) to …
and interfaces like perpendicular magnetic anisotropy (PMA) and spin–orbit torque (SOT) to …
Multistate magnetic domain wall devices for neuromorphic computing
R Sbiaa - physica status solidi (RRL)–Rapid Research Letters, 2021 - Wiley Online Library
In recent years, neuromorphic computing has been intensively investigated, to take over the
conventional or von Neumann scheme. Herein, the advantages of memristors as neurons …
conventional or von Neumann scheme. Herein, the advantages of memristors as neurons …
Bayesian neural networks using magnetic tunnel junction-based probabilistic in-memory computing
Bayesian neural networks (BNNs) combine the generalizability of deep neural networks
(DNNs) with a rigorous quantification of predictive uncertainty, which mitigates overfitting …
(DNNs) with a rigorous quantification of predictive uncertainty, which mitigates overfitting …
Tailoring the switching efficiency of magnetic tunnel junctions by the fieldlike spin-orbit torque
Current-induced spin-orbit torques provide a versatile tool for switching magnetic devices. In
perpendicular magnets, the dampinglike component of the torque is the main driver of …
perpendicular magnets, the dampinglike component of the torque is the main driver of …
Irradiation effects on perpendicular anisotropy spin–orbit torque magnetic tunnel junctions
We study the impact of irradiation on magnetic tunnel junction (MTJ) films with perpendicular
magnetic anisotropy (PMA) and spin-orbit torque (SOT) switching using magneto-optical …
magnetic anisotropy (PMA) and spin-orbit torque (SOT) switching using magneto-optical …