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Related papers: RC circuit based on magnetic skyrmions

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Magnetic skyrmions are the self-organized topological spin textures behaving like particles. Because of their fast creation and typically long lifetime, experimental verification of skyrmion's creation/annihilation processes has been…

Mesoscale and Nanoscale Physics · Physics 2021-06-22 T. Shimojima , A. Nakamura , X. Z. Yu , K. Karube , Y. Taguchi , Y. Tokura , K. Ishizaka

Magnetic skyrmions are topological spin textures that hold great promise as nanoscale information carriers in non-volatile memory and logic devices. While room-temperature magnetic skyrmions and their current-induced manipulation were…

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 skyrmion technology is promising for the next-generation spintronics-based memory and neuromorphic computing due to their small size, non-volatility and low depinning current density. However, the Magnus force originating from the…

Mesoscale and Nanoscale Physics · Physics 2023-02-27 Debasis Das , Yunuo Cen , Jianze Wang , Xuanyao Fong

Using micromagnetic simulation, we investigate the self-sustained oscillation of magnetic skyrmion in a ferromagnetic circular nanodot, driven by spin-torque which is generated from a reference layer of a circular nanopillar device. We…

Mesoscale and Nanoscale Physics · Physics 2019-08-19 Debasis Das , Bhaskaran Muralidharan , Ashwin Tulapurkar

Antiferromagnets are promising materials for future spintronic applications due to their unique properties including zero stray fields, robustness versus external magnetic fields and ultrafast dynamics, which have attracted extensive…

Mesoscale and Nanoscale Physics · Physics 2021-08-18 Xue Liang , Jing Xia , Xichao Zhang , Motohiko Ezawa , Oleg A. Tretiakov , Xiaoxi Liu , Lei Qiu , Guoping Zhao , Yan Zhou

Magnetic skyrmions are topological solitons with a nanoscale winding spin texture that hold promise for spintronics applications. Until now, skyrmions have been observed in a variety of magnets that exhibit nearly parallel alignment for the…

Skyrmions have been proposed as new information carriers in racetrack memory devices. To realise such devices, a small size; high speed of propagation; and minimal skyrmion Hall angle are required. Synthetic antiferromagnets (SAFs) present…

Mesoscale and Nanoscale Physics · Physics 2025-08-01 Christopher E. A. Barker , Charles Parton-Barr , Christopher H. Marrows , Olga Kazakova , Craig Barton

Inspired by the human brain, there is a strong effort to find alternative models of information processing capable of imitating the high energy efficiency of neuromorphic information processing. One possible realization of cognitive…

Disordered Systems and Neural Networks · Physics 2018-02-07 Diana Prychynenko , Matthias Sitte , Kai Litzius , Benjamin Krüger , George Bourianoff , Mathias Kläui , Jairo Sinova , Karin Everschor-Sitte

In the brain, the membrane potential of many neurons oscillates in a subthreshold damped fashion and fire when excited by an input frequency that nearly equals their eigen frequency. In this work, we investigate theoretically the artificial…

Applied Physics · Physics 2018-10-17 Md. Ali Azam , Dhritiman Bhattacharya , Damien Querlioz , Jayasimha Atulasimha

Computational reversibility is necessary for quantum computation and inspires the development of computing systems in which information carriers are conserved as they flow through a circuit. While conservative logic provides an exciting…

The Reservoir Computing (RC) paradigm posits that sufficiently complex physical systems can be used to massively simplify pattern recognition tasks and nonlinear signal prediction. This work demonstrates how random topological magnetic…

Mesoscale and Nanoscale Physics · Physics 2020-11-18 Daniele Pinna , George Bourianoff , Karin Everschor-Sitte

Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loops to generate a memory functionality. The Reservoir…

Mesoscale and Nanoscale Physics · Physics 2018-02-05 George Bourianoff , Daniele Pinna , Matthias Sitte , Karin Everschor-Sitte

Spintronic-based neuromorphic hardware offers high-density and rapid data processing at nanoscale lengths by leveraging magnetic configurations like skyrmion and domain walls. Here, we present the maximal hardware implementation of a…

Mesoscale and Nanoscale Physics · Physics 2024-08-30 Saumya Gupta , Venkatesh Vadde , Bhaskaran Muralidharan , Abhishek Sharma

Magnetic skyrmions and multiferroics are the most interesting objects in nanostructure science that have great potential in future spin-electronic technology. The study of the multiferroic skyrmions has attracted much interest in recent…

Mesoscale and Nanoscale Physics · Physics 2016-08-03 Zidong Wang , Malcolm J. Grimson

Magnetic skyrmions are emerging as key elements of unconventional operations having unique properties such as small size and low current manipulation. In particular, it is possible to design skyrmion-based neurons and synapses for…

Magnetic skyrmions, vortex-like swirling spin structures with quantized topological number, observed in chiral magnets, are appealing for potential applications in spintronics because it is possible to control their motion with ultralow…

Mesoscale and Nanoscale Physics · Physics 2013-10-08 Junichi Iwasaki , Masahito Mochizuki , Naoto Nagaosa

We theoretically study equilibrium and dynamic properties of nanosized magnetic skyrmions in thin magnetic films with broken inversion symmetry, where electric field couples to magnetization via spin-orbit coupling. Based on a…

Mesoscale and Nanoscale Physics · Physics 2015-10-21 Pramey Upadhyaya , Guoqiang Yu , Pedram Khalili Amiri , Kang L. Wang

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

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…