A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Switching of perpendicular magnetization by spin–orbit torque

L Zhu - Advanced Materials, 2023 - Wiley Online Library
Magnetic materials with strong perpendicular magnetic anisotropy are of great interest for
the development of nonvolatile magnetic memory and computing technologies due to their …

Electric field control of deterministic current-induced magnetization switching in a hybrid ferromagnetic/ferroelectric structure

K Cai, M Yang, H Ju, S Wang, Y Ji, B Li… - Nature materials, 2017 - nature.com
All-electrical and programmable manipulations of ferromagnetic bits are highly pursued for
the aim of high integration and low energy consumption in modern information technology …

Proposal for an all-spin artificial neural network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets

A Sengupta, Y Shim, K Roy - IEEE transactions on biomedical …, 2016 - ieeexplore.ieee.org
Non-Boolean computing based on emerging postCMOS technologies can potentially pave
the way for low-power neural computing platforms. However, existing work on such …

Determination of spin torque efficiencies in heterostructures with perpendicular magnetic anisotropy

CF Pai, M Mann, AJ Tan, GSD Beach - Physical Review B, 2016 - APS
We report that by measuring a current-induced hysteresis loop shift versus in-plane bias
magnetic field, the spin-Hall effect (SHE) contribution of the current-induced effective field …

Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges

I Chakraborty, M Ali, A Ankit, S Jain, S Roy… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Traditional computing systems based on the von Neumann architecture are fundamentally
bottlenecked by data transfers between processors and memory. The emergence of data …

[HTML][HTML] Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing

A Sengupta, K Roy - Applied Physics Reviews, 2017 - pubs.aip.org
Present day computers expend orders of magnitude more computational resources to
perform various cognitive and perception related tasks that humans routinely perform every …

Energy Efficient All-Electric-Field-Controlled Multiferroic Magnetic Domain-Wall Logic

X Li, H Singh, Y Bao, Q Luo, S Li, J Chatterjee… - Nano Letters, 2023 - ACS Publications
Magnetic domain wall (DW)-based logic devices offer numerous opportunities for emerging
electronics applications allowing superior performance characteristics such as fast motion …

A spin–orbit torque device for sensing three-dimensional magnetic fields

R Li, S Zhang, S Luo, Z Guo, Y Xu, J Ouyang… - Nature …, 2021 - nature.com
Magnetic field sensors are important in a variety of applications, including transport and
medical devices. However, existing solid-state approaches for the detection of three …

Lack of simple correlation between switching current density and spin-orbit-torque efficiency of perpendicularly magnetized spin-current-generator–ferromagnet …

L Zhu, DC Ralph, RA Buhrman - Physical Review Applied, 2021 - APS
Spin-orbit torque can drive electrical switching of magnetic layers. Here, we report that, at
least for micrometer-sized samples, there is no simple correlation between the efficiency of …