Roadmap of spin–orbit torques

Q Shao, P Li, L Liu, H Yang, S Fukami… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Spin–orbit torque (SOT) is an emerging technology that enables the efficient manipulation of
spintronic devices. The initial processes of interest in SOTs involved electric fields, spin …

Review on spintronics: Principles and device applications

A Hirohata, K Yamada, Y Nakatani, IL Prejbeanu… - Journal of Magnetism …, 2020 - Elsevier
Spintronics is one of the emerging fields for the next-generation nanoelectronic devices to
reduce their power consumption and to increase their memory and processing capabilities …

Emerging research landscape of altermagnetism

L Šmejkal, J Sinova, T Jungwirth - Physical Review X, 2022 - APS
Magnetism is one of the largest, most fundamental, and technologically most relevant fields
of condensed-matter physics. Traditionally, two basic magnetic phases have been …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Neuromorphic spintronics

J Grollier, D Querlioz, KY Camsari… - Nature …, 2020 - nature.com
Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

Domain wall memory: Physics, materials, and devices

D Kumar, T **, R Sbiaa, M Kläui, S Bedanta, S Fukami… - Physics Reports, 2022 - Elsevier
Digital data, generated by corporate and individual users, is growing day by day due to a
vast range of digital applications. Magnetic hard disk drives (HDDs) currently fulfill the …

Spin-orbit torques: Materials, mechanisms, performances, and potential applications

C Song, R Zhang, L Liao, Y Zhou, X Zhou… - Progress in Materials …, 2021 - Elsevier
Current-induced spin-orbit torque (SOT) is attracting increasing interest and exciting
significant research activity. We aim to provide a comprehensive review of recent progress in …

Energy-efficient memcapacitor devices for neuromorphic computing

KU Demasius, A Kirschen, S Parkin - Nature Electronics, 2021 - nature.com
Data-intensive computing operations, such as training neural networks, are essential for
applications in artificial intelligence but are energy intensive. One solution is to develop …

Emerging memory devices for neuromorphic computing

NK Upadhyay, H Jiang, Z Wang… - Advanced Materials …, 2019 - Wiley Online Library
A neuromorphic computing system may be able to learn and perform a task on its own by
interacting with its surroundings. Combining such a chip with complementary metal–oxide …

The multiple directions of antiferromagnetic spintronics

T Jungwirth, J Sinova, A Manchon, X Marti… - Nature Physics, 2018 - nature.com
The multiple directions of antiferromagnetic spintronics | Nature Physics Skip to main content
Thank you for visiting nature.com. You are using a browser version with limited support for …