Spin-orbit torque switching of magnetic tunnel junctions for memory applications

V Krizakova, M Perumkunnil, S Couet… - Journal of Magnetism …, 2022 - Elsevier
Spin-orbit torques (SOT) provide a versatile tool to manipulate the magnetization of diverse
classes of materials and devices using electric currents, leading to novel spintronic memory …

[HTML][HTML] Roadmap to neuromorphic computing with emerging technologies

A Mehonic, D Ielmini, K Roy, O Mutlu, S Kvatinsky… - APL Materials, 2024 - pubs.aip.org
The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …

Nonvolatile associative memory design based on spintronic synapses and CNTFET neurons

A Amirany, MH Moaiyeri, K Jafari - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Many advances have been made in develo** bio-inspired intelligent systems for
performing important tasks like pattern association, which cannot be performed effectively by …

Exploring Multifunctionality in MgO‐Based Magnetic Tunnel Junctions with Coexisting Magnetoresistance and Memristive Properties

A Schulman, E Paz, T Böhnert… - Advanced Functional …, 2023 - Wiley Online Library
Magnetic tunnel junctions (MTJs) and memristors are two key emerging nanotechnologies
that attracted significant interest for potential applications at the forefront of the digital …

[BUCH][B] Handbook of magnetic materials

EH Brück - 2017 - books.google.com
Handbook of Magnetic Materials, Volume 26, covers the expansion of magnetism over the
last few decades and its applications in research, notably the magnetism of several classes …

Weighted spin torque nano-oscillator system for neuromorphic computing

T Böhnert, Y Rezaeiyan, MS Claro, L Benetti… - Communications …, 2023 - nature.com
Neuromorphic computing is a promising strategy to overcome fundamental limitations, such
as enormous power consumption, by massive parallel data processing, similar to the brain …

A novel compound synapse using probabilistic spin–orbit-torque switching for MTJ-based deep neural networks

V Ostwal, R Zand, R DeMara… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Analog electronic nonvolatile memories mimicking synaptic operations are being explored
for the implementation of neuromorphic computing systems. Compound synapses consisting …

Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity

O Akinola, X Hu, CH Bennett, M Marinella… - Journal of Physics D …, 2019 - iopscience.iop.org
There have been recent efforts towards the development of biologically-inspired
neuromorphic devices and architecture. Here, we show a synapse circuit that is designed to …

Multi-state MRAM cells for hardware neuromorphic computing

P Rzeszut, J Chȩciński, I Brzozowski, S Ziȩtek… - Scientific reports, 2022 - nature.com
Magnetic tunnel junctions (MTJ) have been successfully applied in various sensing
application and digital information storage technologies. Currently, a number of new …

Reconfigurable classifier based on spin-torque-driven magnetization switching in electrically connected magnetic tunnel junctions

A López, JD Costa, T Böhnert, PP Freitas, R Ferreira… - Physical Review …, 2024 - APS
A promising branch of neuromorphic computing aims to perform cognitive operations in
hardware, leveraging the physics of efficient and well-established nanodevices. In this work …