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Writing, erasing and computing are three fundamental operations required by any working electronic devices. Magnetic skyrmions could be basic bits in promising in emerging topological spintronic devices. In particular, skyrmions in chiral…

Mesoscale and Nanoscale Physics · Physics 2022-04-06 Weiwei Wang , Dongsheng Song , Wensen Wei , Pengfei Nan , Shilei Zhang , Binghui Ge , Mingliang Tian , Jiadong Zang , Haifeng Du

Spintronic nanodevices have ultrafast nonlinear dynamic and recurrence behaviors on a nanosecond scale that promises to enable spintronic reservoir computing (RC) system. Here two physical RC systems based on a single magnetic skyrmion…

Emerging Technologies · Computer Science 2020-10-28 Wencong Jiang , Lina Chen , Kaiyuan Zhou , Liyuan Li , Qingwei Fu , Youwei Du , Ronghua Liu

Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this success comes at a great price; the energy requirements for…

Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained environments. This work proposes a novel hardware…

Neural and Evolutionary Computing · Computer Science 2020-03-25 Peng Zhou , Nathan R. McDonald , Alexander J. Edwards , Lisa Loomis , Clare D. Thiem , Joseph S. Friedman

Physical reservoir computing is a framework for brain-inspired information processing that utilizes nonlinear and high-dimensional dynamics in non-von-Neumann systems. In recent years, spintronic devices have been proposed for use as…

Mesoscale and Nanoscale Physics · Physics 2023-10-11 Kaito Kobayashi , Yukitoshi Motome

Physical reservoir computing has emerged as a powerful framework for exploiting the inherent nonlinear dynamics of physical systems to perform computational tasks. Recently, we presented the magnon-scattering reservoir, whose internal nodes…

Mesoscale and Nanoscale Physics · Physics 2025-05-07 Christopher Heins , Joo-Von Kim , Lukas Körber , Jürgen Fassbender , Helmut Schultheiss , Katrin Schultheiss

Recent advancements in reservoir computing research have created a demand for analog devices with dynamics that can facilitate the physical implementation of reservoirs, promising faster information processing while consuming less energy…

Devices based on arrays of interconnected magnetic nano-rings with emergent magnetization dynamics have recently been proposed for use in reservoir computing applications, but for them to be computationally useful it must be possible to…

Magnetic skyrmions are topologically stable whirlpool-like spin textures that offer great promise as information carriers for future ultra-dense memory and logic devices1-4. To enable such applications, particular attention has been focused…

In this study, we have shown autonomous long-term prediction with a spintronic physical reservoir. Due to the short-term memory property of the magnetization dynamics, non-linearity arises in the reservoir states which could be used for…

Reservoir computing is a neuromorphic architecture that potentially offers viable solutions to the growing energy costs of machine learning. In software-based machine learning, neural network properties and performance can be readily…

The skyrmion is a topologically stable spin texture, in which the spin direction wraps a sphere. The topological nature gives rise to emergent electromagnetic phenomena such as topological Hall effect. Recently, the crystallization of…

Materials Science · Physics 2015-06-04 Y. Onose , Y. Okamura , S. Seki , S. Ishiwata , Y. Tokura

Magnetic skyrmions are topological solitons that exhibit an increased stability against annihilation, and can be displaced with low current densities, making them a promising candidate as an information carrier. In order to demonstrate a…

Magnetic skyrmions are topological quasiparticles with great potential for applications in future information storage and processing devices because of their nanoscale size, high stability, and large velocity. Recently, the high-frequency…

Applied Physics · Physics 2019-08-14 Xing Chen , Wang Kang , Daoqian Zhu , Na Lei , Xichao Zhang , Yan Zhou , Youguang Zhang , Weisheng Zhao

Magnetic skyrmions are topological spin textures promising for future high-density and nonvolatile memory. It is crucial to understand the current-driven skyrmion dynamics in the presence of deformation, of which an analytical model,…

Mesoscale and Nanoscale Physics · Physics 2022-01-13 Zehan Chen , Xichao Zhang , Yan Zhou , Qiming Shao

Skyrmions are particle-like topological excitations, studied in various condensed matter systems and models of high-energy physics (HEP). They occur as stable spin textures in certain planar magnetic materials and as configurations in…

Skyrmion is a topologically protected spin texture excited in magnetic thin films. The radii of skyrmions are typically 10-100 nm. Because of the size, the skyrmion is expected to be a candidate for memory and novel-device usages. To…

Mesoscale and Nanoscale Physics · Physics 2020-05-12 E. Tamura , C. Liu , S. Miki , J. Cho , M. Goto , H. Nomura , R. Nakatani , Y. Suzuki

Magnetic skyrmions are nontrivial spin textures which resist external perturbations, being promising candidates for the next generation recording devices. Nevertheless, a major challenge in realizing skyrmion-based devices is the…

Controlled movement of nano-scale stable magnetic objects has been proposed as the foundation for a new generation of magnetic storage devices. Magnetic skyrmions, vortex-like spin textures stabilized by their topology are particularly…

Strongly Correlated Electrons · Physics 2017-11-27 Yongkang Luo , Shizeng Lin , M. Leroux , N. Wakeham , D. M. Fobes , E. D. Bauer , J. B. Betts , J. D. Thompson , A. Migliori , M. Janoschek , Boris Maiorov

Nonlinear phenomena in physical systems can be used for brain-inspired computing with low energy consumption. Response from the dynamics of a topological spin structure called skyrmion is one of the candidates for such a neuromorphic…

Emerging Technologies · Computer Science 2022-10-07 Tomoyuki Yokouchi , Satoshi Sugimoto , Bivas Rana , Shinichiro Seki , Naoki Ogawa , Yuki Shiomi , Shinya Kasai , Yoshichika Otani