Abstract
A soft/hard exchange-spring coupled bilayer magnetic structure is proposed to obtain a narrow channel for spin-wave propagation. Micromagnetic simulations show that broad-band Damon-Eshbach geometry spin waves are strongly constrained within the channel and propagate effectively with a high group velocity. The beam width of the bound spin waves is almost independent from the frequency and is smaller than 24nm. Two side spin beams appearing at the low-frequency excitation are demonstrated to be coupled with the channel spins by dipole-dipole interaction. In contrast to a domain wall, the channel formed by exchange-spring coupling is easier to be realized in experimental scenarios and holds stronger immunity to surroundings. This work is expected to open new possibilities for energy-efficient spin-wave guiding as well as to help shape the field of beam magnonics.
Highlights
Magnonics is an emerging technology for low-power signal transmission and data processing based on spin waves propagating in magnetic materials.[1,2,3,4] Due to its nanometer wavelengths and Joule-heat-free transfer of spin information over macroscopic distances,[6,7,8] such magnon-based computing concept is actively studied and undergoes benchmarking in the framework beyond-CMOS strategies.[5]
Individual domain walls were functionalized as nanoscale magnonic conduits that allowed for a rewritable nanocircuitry.[25,26,27,28]
We present a paradigm for spin-wave propagation that relies on a domain-wall-like magnetic channel for magnonic waveguides
Summary
Cite as: AIP Advances 8, 055103 (2018); https://doi.org/10.1063/1.5018637 Submitted: 08 December 2017 • Accepted: 24 April 2018 • Published Online: 02 May 2018 Lixiang Wang, Leisen Gao, Lichuan Jin, et al. ARTICLES YOU MAY BE INTERESTED IN The design and verification of MuMax[3] AIP Advances 4, 107133 (2014); https://doi.org/10.1063/1.4899186 Spin-wave logic devices based on isotropic forward volume magnetostatic waves Applied Physics Letters 106, 212406 (2015); https://doi.org/10.1063/1.4921850 Introduction to spin wave computing Journal of Applied Physics 128, 161101 (2020); https://doi.org/10.1063/5.0019328 Lixiang Wang, Leisen Gao, Lichuan Jin, Yulong Liao, Tianlong Wen, Xiaoli Tang, Huaiwu Zhang, and Zhiyong Zhonga State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, 610054 Chengdu, China (Received 8 December 2017; accepted 24 April 2018; published online 2 May 2018)
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