Suppression of Dynamically Induced Stochastic Magnetic Behavior Through Materials Engineering

Broomhall, T. J.; Rushforth, A. W.; Rosamond, Mark C.; Linfield, Edmund H.; Hayward, Thomas J.

doi:10.1103/physrevapplied.13.024039

Cited by 4 publications

(6 citation statements)

References 56 publications

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“…The results of these simulations, which describe a regime far beyond the linear (no domain-wall transformations) and oscillatory (periodic transformations) regimes, are in agreement with existing works on stochastic domain-wall dynamics, [14,15,[27][28][29] stochastic domain-wall pinning [14,30,31] and depinning, [32,33] and in which inhibition of Walker breakdown had been shown to eliminate stochasticity. [14,15] Video S1, Supporting Information, technical details: This video was created by concatenating simulation frames taken every 0.1 ns. The frame number is indicated at the top-left corner of the video.…”

Section: Methodssupporting

confidence: 88%

“…[10][11][12][13] Stochasticity in domain-wall motion is highly detrimental for traditional Boolean logic applications, and great efforts have been made to inhibit it in devices. [14,15] However, a powerful set of stochastic computing frameworks exists and is under intense investigation. These frameworks function by generating and transforming probability distributions, and can efficiently deal with data in which uncertainty is intrinsically present, or with difficult optimization tasks.…”

Section: Introductionmentioning

confidence: 99%

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Tunable Stochasticity in an Artificial Spin Network

et al. 2021

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Metamaterials present the possibility of artificially generating advanced functionalities through engineering of their internal structure. Artificial spin networks, in which a large number of nanoscale magnetic elements are coupled together, are promising metamaterial candidates that enable the control of collective magnetic behavior through tuning of the local interaction between elements. In this work, the motion of magnetic domain‐walls in an artificial spin network leads to a tunable stochastic response of the metamaterial, which can be tailored through an external magnetic field and local lattice modifications. This type of tunable stochastic network produces a controllable random response exploiting intrinsic stochasticity within magnetic domain‐wall motion at the nanoscale. An iconic demonstration used to illustrate the control of randomness is the Galton board. In this system, multiple balls fall into an array of pegs to generate a bell‐shaped curve that can be modified via the array spacing or the tilt of the board. A nanoscale recreation of this experiment using an artificial spin network is employed to demonstrate tunable stochasticity. This type of tunable stochastic network opens new paths toward post‐Von Neumann computing architectures such as Bayesian sensing or random neural networks, in which stochasticity is harnessed to efficiently perform complex computational tasks.

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Section: Methodssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Tunable Stochasticity in an Artificial Spin Network

et al. 2021

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“…The propagation of boundaries between two quasi-homogeneous magnetic order regions characterized by magnetization vectors (M i ), the socalled magnetic domain wall (DW), is of interest. The properties of such DWs have been attracting much attention recently [4][5][6][7][8][9][10][11][12]. This material has been extensively studied on large samples and having many undiscovered properties in small ones.…”

Section: Introductionmentioning

confidence: 99%

“…This is one of the research topics that attracted much interest in materials science, nanotechnology and/or nanomagnetism for more than a decade. Hence, understanding the properties of Py at the nanoscale size with a rapid DW motion is essential [1,[4][5][6][7][8]. Many characterization techniques are used in research, for examples, Magneto Optical Kerr Effect (MOKE), X-ray Magnetic Circular Dichroism (XMCD), Scanning Electron Microscopy with Polarization Analysis (SEMPA) [2,[4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Domain Walls Moving in Curved Permalloy Nanowires under Continuous and Pulsed Fields

et al. 2021

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Magnetic domain walls created and propagated in curved permally nanowires under continuous and pulsed fields in a Lorentz microscope. Using such nanowires aims to create a single or multiple magnetic domain walls in typical areas of those structures, an external magnetic field then applies along the long axis of these nanowires. Following that the created domain walls are propagated from one end to the other end of each wire by increasing the continuous/pulsed field strength. At each increased field value, a Fresnel image is recorded. The obtained results show that the characteristics of those created and propagated domain walls are dependent on various parameters, i.e. connecting structures, wall types and chiralities. Corners between the straight and linking sections of those curved nanowires also play a crucial role along witth the local defects created in these wire-edges and surfaces where a point-defect is considered as a potential well that could pin/distort those created/propagated domain walls. By the aid of this observations, the dynamic properties of domain walls with the creating and propagating processes in those curved nanowires are exposed. These outcomes are vital to design novel domain wall trap structures supporting reproducible domain wall motions. That are of interest in providing a better understanding of multiple bits moving in the furure 3D racetrack memory, logic gates, shift register and other spintronic/computing devices.

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“…domain wall (DW) logic gates and racetrack memory [1][2][3][4][5][6][7]. A geometrical parameter highly affects the creation and propagation processes of DWs in given applications [4,6,8]. This factor therefore affects the creation, transformation and propagation behavior of single or multiple DWs in such nanostructures.…”

Section: Introductionmentioning

confidence: 99%

Creation and propagation of a single magnetic domain wall in 2D nanotraps with a square injection pad

Hoang

Cao²,

Nguyen

et al. 2020

Nanotechnology

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Polycrystalline permalloy 2D nanotraps with a thickness of 20 nm were studied using a Lorentz microscope associated with micro-magnetic simulations. Each trap was designed to create a single head-to-head domain wall. The traps consist of a few nanowires with an in-plane dimension of w nm × 1000 nm (w = 150, 200 and 250 nm). Some structures with an injection pad were also designed to create a single domain wall and propagate it through the structure with the said injection pad. A few of them were patterned to study the nucleation and propagation behavior of such nucleated domain walls using both horizontal magnetic field and injection pad approaches. The case of a domain wall created at the first corner of the trap with a wire width of 200 nm was systematically studied, while single and multiple domain walls can also be created and propagated with or without an injection structure. The characteristics of such movements were exploited with an emphasis on a single head-to-head domain wall.

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Suppression of Dynamically Induced Stochastic Magnetic Behavior Through Materials Engineering

Abstract: This is a repository copy of Suppression of dynamically induced stochastic magnetic behavior through materials engineering.

Cited by 4 publications

References 56 publications

Tunable Stochasticity in an Artificial Spin Network

Tunable Stochasticity in an Artificial Spin Network

Magnetic Domain Walls Moving in Curved Permalloy Nanowires under Continuous and Pulsed Fields

Creation and propagation of a single magnetic domain wall in 2D nanotraps with a square injection pad

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