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Information transport and processing by pure magnonic spin currents in insulators is a promising alternative to conventional charge-current driven spintronic devices. The absence of Joule heating as well as the reduced spin wave damping in…

We develop a computing framework that leverages wave propagation within an interconnected network, where nodes and edges possess wave manipulation capabilities, such as frequency mixing or time delay. This computing paradigm can not only…

Emerging Technologies · Computer Science 2026-01-13 Yunwen Liu , Jiang Xiao

Spin waves propagating in magnetic materials exhibit nonlinear behavior at large amplitudes due to the competition between excitation and relaxation, providing an attractive platform for exploring nonlinear wave dynamics. In particular,…

The direct calculation of magnetoelastic wave dispersion in layered media is presented using an efficient, accurate computational technique. The governing, coupled equations for elasticity and magnetism, the Navier and Landau-Lifshitz…

Mesoscale and Nanoscale Physics · Physics 2023-04-05 Samuel J. Ryskamp , Mark A. Hoefer

Spin-waves (magnons) are among the prime candidates for building fast yet energy-efficient platforms for information transport and computing. We here demonstrate theoretically and in state-of-the-art micromagnetic simulation the effects…

We report the development of a hybrid numerical / analytical model capable of mapping the spatially-varying distributions of the local ferromagnetic resonance (FMR) frequency and dynamic magnetic susceptibility in a wide class of patterned…

Mesoscale and Nanoscale Physics · Physics 2019-05-29 C. S. Davies , V. D. Poimanov , V. V. Kruglyak

We propose and describe a magnetic NanoFabric which provides a route to building reconfigurable spin-based logic circuits compatible with conventional electron-based devices. A distinctive feature of the proposed NanoFabric is that a bit of…

Other Condensed Matter · Physics 2009-11-13 Alexander Khitun , Mingqiang Bao , Kang L. Wang

We explore how to study dynamical interactions between brain regions using functional multilayer networks whose layers represent the different frequency bands at which a brain operates. Specifically, we investigate the consequences of…

Neurons and Cognition · Quantitative Biology 2017-09-15 Javier M. Buldú , Mason A. Porter

Hybrid dynamic systems have recently gained interests with respect to both fundamental physics and device applications, particularly with their potential for coherent information processing. In this perspective, we will focus on the recent…

Mesoscale and Nanoscale Physics · Physics 2020-10-06 Yi Li , Wei Zhang , Vasyl Tyberkevych , Wai-Kwong Kwok , Axel Hoffmann , Valentine Novosad

We have investigated co-directional and contra-directional couplings between spin wave and acoustic wave in one-dimensional periodic structure (magphonic crystal). The system consists of two ferromagnetic layers alternating in space. We…

Other Condensed Matter · Physics 2017-07-12 Piotr Graczyk , Maciej Krawczyk

Magnonics has been receiving significant attention in magnetism and spintronics because of its premise for devices using spin current carried by magnons, quanta of spin-wave excitations of a macroscopically ordered magnetic media. Although…

Mesoscale and Nanoscale Physics · Physics 2022-11-09 Junmo Jeon , Se Kwon Kim , SungBin Lee

High-dimensional nonlinear dynamical systems including neural networks can be utilized as a computational resource for information processing. In this sense, nonlinear wave systems are good candidate for such a computational resource. Here,…

Applied Physics · Physics 2019-07-30 Satoshi Sunada , Atsushi Uchida

Magnonics, which employs spin-waves to transmit and process information, is a promising venue for low-power data processing. One of the major challenges is the local control of the spin-wave propagation path. Here, we introduce the concept…

The propagation of magnons along a symmetry path may depend on the direction of propagation, similar to many other quasiparticles in nature. This phenomenon is commonly referred to as nonreciprocity. In addition to the fact that it is of…

Strongly Correlated Electrons · Physics 2024-10-10 Albrecht von Faber , Christopher Hins , Khalil Zakeri

Magnonics, i.e. the artificial manipulation of spin waves, is a flourishing field of research with many potential uses in data processing within reach. Apart from the technological applications the possibility to directly influence and…

Starting from first principles of wave propagation, we consider a multiple-input multiple-output (MIMO) representation of a communication system between two spatially-continuous volumes. This is the concept of holographic MIMO…

Signal Processing · Electrical Eng. & Systems 2022-09-30 Luca Sanguinetti , Antonio A. D'Amico , Merouane Debbah

The field of magnonics offers a new type of low-power information processing, in which magnons, the quanta of spin waves, carry and process data instead of electrons. Many magnonic devices were demonstrated recently, but the development of…

Applied Physics · Physics 2021-06-09 Qi Wang , Andrii V. Chumak , Philipp Pirro

Hybrid magnonics has recently attracted intensive attentions as a promising platform for coherent information processing. In spite of its rapid development, on-demand control over the interaction of magnons with other information carriers,…

Mesoscale and Nanoscale Physics · Physics 2020-12-30 Jing Xu , Changchun Zhong , Xu Han , Dafei Jin , Liang Jiang , Xufeng Zhang

Spin waves are collective excitations propagating in the magnetic medium with ordered magnetizations. Magnonics, utilizing the spin wave (magnon) as information carrier, is a promising candidate for low-dissipation computation and…

Mesoscale and Nanoscale Physics · Physics 2016-10-19 Weichao Yu , Jin Lan , Ruqian Wu , Jiang Xiao

Magnons, namely spin waves, are collective spin excitations in ferromagnets, and their control through coupling with other excitations is a key technology for future hybrid spintronic devices. Although strong coupling has been demonstrated…

Mesoscale and Nanoscale Physics · Physics 2022-03-18 D. Hatanaka , M. Asano , H. Okamoto , Y. Kunihashi , H. Sanada , H. Yamaguchi
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