[HTML][HTML] The 2020 magnetism roadmap

EY Vedmedenko, RK Kawakami… - Journal of Physics D …, 2020 - iopscience.iop.org
Interfacial Dzyaloshinskii-Moriya Interactions 2. Spin and Magnetism in 2D Materials 3.
Curvilinear magnetism 4. Spin-orbit torques and emergent applications 5. All-optical …

Topological phases in polar oxide nanostructures

J Junquera, Y Nahas, S Prokhorenko, L Bellaiche… - Reviews of Modern …, 2023 - APS
The past decade has witnessed dramatic progress related to various aspects of emergent
topological polar textures in oxide nanostructures displaying vortices, skyrmions, merons …

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] Roadmap on emerging hardware and technology for machine learning

K Berggren, Q Xia, KK Likharev, DB Strukov… - …, 2020 - iopscience.iop.org
Recent progress in artificial intelligence is largely attributed to the rapid development of
machine learning, especially in the algorithm and neural network models. However, it is the …

Wave physics as an analog recurrent neural network

TW Hughes, IAD Williamson, M Minkov, S Fan - Science advances, 2019 - science.org
Analog machine learning hardware platforms promise to be faster and more energy efficient
than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural …

[HTML][HTML] Spintronic devices for energy-efficient data storage and energy harvesting

J Puebla, J Kim, K Kondou, Y Otani - Communications Materials, 2020 - nature.com
The current data revolution has, in part, been enabled by decades of research into
magnetism and spin phenomena. For example, milestones such as the observation of giant …

Magnetic texture based magnonics

H Yu, J Xiao, H Schultheiss - Physics Reports, 2021 - Elsevier
The spontaneous magnetic orders arising in ferro-, ferri-and antiferromagnets stem from
various magnetic interactions. Depending on the interplay and competition among the …

[HTML][HTML] Bioinspired multisensory neural network with crossmodal integration and recognition

H Tan, Y Zhou, Q Tao, J Rosen, S van Dijken - Nature communications, 2021 - nature.com
The integration and interaction of vision, touch, hearing, smell, and taste in the human
multisensory neural network facilitate high-level cognitive functionalities, such as …

[HTML][HTML] Coupled oscillators for computing: A review and perspective

G Csaba, W Porod - Applied physics reviews, 2020 - pubs.aip.org
Coupled oscillators are highly complex dynamical systems, and it is an intriguing concept to
use this oscillator dynamics for computation. The idea is not new, but is currently the subject …

Nonlinearity in memristors for neuromorphic dynamic systems

K Yang, J Joshua Yang, R Huang, Y Yang - Small Science, 2022 - Wiley Online Library
As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …