Prospect of spin-orbitronic devices and their applications
Science, engineering, and medicine ultimately demand fast information processing with ultra-
low power consumption. The recently developed spin-orbit torque (SOT)-induced …
low power consumption. The recently developed spin-orbit torque (SOT)-induced …
In-memory logic operations and neuromorphic computing in non-volatile random access memory
Recent progress in the development of artificial intelligence technologies, aided by deep
learning algorithms, has led to an unprecedented revolution in neuromorphic circuits …
learning algorithms, has led to an unprecedented revolution in neuromorphic circuits …
Initialization-Free and Magnetic Field-Free Spin–Orbit p-Bits with Backhopping-like Magnetization Switching for Probabilistic Applications
R Ren, Y Cao, C Wang, Y Guan, S Liu, L Wang… - Nano Letters, 2024 - ACS Publications
Probabilistic bits (p-bits) with thermal-and spin torque-induced nondeterministic
magnetization switching are promising candidates for performing probabilistic computing …
magnetization switching are promising candidates for performing probabilistic computing …
A novel computing-in-memory platform based on hybrid spintronic/CMOS memory
Z Yang, K He, Z Zhang, Y Lu, Z Li… - … on Electron Devices, 2022 - ieeexplore.ieee.org
Computing-in-memory (CiM) based on spintronic devices is considered to be one of the
most promising solutions to address the von Neumann bottleneck. In this article, a novel CiM …
most promising solutions to address the von Neumann bottleneck. In this article, a novel CiM …
MLiM: High-performance magnetic logic in-memory scheme with unipolar switching SOT-MRAM
Conventional computing architectures based on the von Neumann structure are suffering
from the severe 'memory wall'issue due to the isolation and speed mismatch between …
from the severe 'memory wall'issue due to the isolation and speed mismatch between …
Spintronic computing-in-memory architecture based on voltage-controlled spin–orbit torque devices for binary neural networks
Binary neural networks (BNNs) are promising for resource-constrained Internet of Things
(IoT) devices owing to the lightweight memory and computation requirements. Moreover …
(IoT) devices owing to the lightweight memory and computation requirements. Moreover …
Energy-efficient all-spin BNN using voltage-controlled spin-orbit torque device for digit recognition
Artificial intelligence has been demonstrated for numerous applications including image
recognition and processing, internet-of-things (IoT), and speech recognition. Recent neural …
recognition and processing, internet-of-things (IoT), and speech recognition. Recent neural …
An approach towards designing logic locking using shape-perpendicular magnetic anisotropy-double layer MTJ
In recent years, discovering various vulnerabilities in the IC supply chain has raised security
concerns in electronic systems. Recent research has proposed numerous attack and …
concerns in electronic systems. Recent research has proposed numerous attack and …
Verilog-A-based analytical modeling of vortex spin-torque nano oscillator
Topological spin textures are the next-generation spintronic building blocks for storing and
processing information because of their controllable formation and annihilation. Memory …
processing information because of their controllable formation and annihilation. Memory …
Computing-in-memory using voltage-controlled spin-orbit torque based MRAM array
S Shreya, A Jain, BK Kaushik - Microelectronics Journal, 2021 - Elsevier
Abstract The Computing-in-Memory (CiM) is one of the best solutions to overcome the data
transferring limitation between memory and processor. Moreover, spintronics based devices …
transferring limitation between memory and processor. Moreover, spintronics based devices …