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 …

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 …

[HTML][HTML] Skyrmion devices for memory and logic applications

S Luo, L You - APL Materials, 2021 - pubs.aip.org
Skyrmions have received considerable attention in various studies since the experimental
observation in magnetic materials in 2009. Skyrmions, which are topological, particle-like …

Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing

H Bian, YY Goh, Y Liu, H Ling, L Xie… - Advanced Materials, 2021 - Wiley Online Library
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Ferroic tunnel junctions and their application in neuromorphic networks

R Guo, W Lin, X Yan, T Venkatesan, J Chen - Applied physics reviews, 2020 - pubs.aip.org
Brain-inspired neuromorphic computing has been intensively studied due to its potential to
address the inherent energy and throughput limitations of conventional Von-Neumann …

Prospect of spin-orbitronic devices and their applications

Y Cao, G Xing, H Lin, N Zhang, H Zheng, K Wang - IScience, 2020 - cell.com
Science, engineering, and medicine ultimately demand fast information processing with ultra-
low power consumption. The recently developed spin-orbit torque (SOT)-induced …

From spintronic memristors to quantum computing

J Qin, B Sun, G Zhou, T Guo, Y Chen, C Ke… - ACS Materials …, 2023 - ACS Publications
The high-speed development of the Internet of Things and artificial intelligence is
revolutionizing the world in terms of industrial production, environmental protection, medical …

Ultralow energy domain wall device for spin-based neuromorphic computing

D Kumar, HJ Chung, JP Chan, T Jin, ST Lim… - ACS …, 2023 - ACS Publications
Neuromorphic computing (NC) is gaining wide acceptance as a potential technology to
achieve low-power intelligent devices. To realize NC, researchers investigate various types …

Compensated ferrimagnet based artificial synapse and neuron for ultrafast neuromorphic computing

J Liu, T Xu, H Feng, L Zhao, J Tang… - Advanced Functional …, 2022 - Wiley Online Library
Spintronic devices are considered a possible solution for the hardware implementation of
artificial synapses and neurons, as a result of their non‐volatility, high scalability …

Spintronic devices for high-density memory and neuromorphic computing–A review

BJ Chen, M Zeng, KH Khoo, D Das, X Fong, S Fukami… - Materials Today, 2023 - Elsevier
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 …