2022
DOI: 10.1038/s41598-022-19587-6
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Nucleation and manipulation of single skyrmions using spin-polarized currents in antiferromagnetic skyrmion-based racetrack memories

Abstract: In this work, an ultrafast nucleation of an isolated anti-ferromagnetic (AFM) skyrmion was reported in an AFM layer with DMi strengths of 0.47$$-$$ - 0.32 $$\mathrm{mJ}/{\mathrm{m}}^{2}$$ mJ / m 2 using spin-transfer torque by locally injecting pure s… Show more

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Cited by 7 publications
(10 citation statements)
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References 48 publications
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“…Notably, the coupled skyrmions enable intriguing interactions and functionalities. However, they possess a unique skyrmion number, which is represented by its topological number equal to zero (Figure e). , Nevertheless, when considering the individual sublattices A and B, the topological number of the AFM skyrmion, denoted as Q AFM (eq ), can be determined using a discretized version that accounts for the opposite core polarities . This discretized version provides insight into the behavior of the skyrmion, highlighting its remarkable features, such as inherent topological protection and the influence of the AFM exchange interaction Q AFM τ = prefix− 1 4 π ijk m i τ · ( bold-italicm bold-italicj bold-italicτ × bold-italicm bold-italick bold-italicτ ) , τ = A , B …”
Section: Simulation Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…Notably, the coupled skyrmions enable intriguing interactions and functionalities. However, they possess a unique skyrmion number, which is represented by its topological number equal to zero (Figure e). , Nevertheless, when considering the individual sublattices A and B, the topological number of the AFM skyrmion, denoted as Q AFM (eq ), can be determined using a discretized version that accounts for the opposite core polarities . This discretized version provides insight into the behavior of the skyrmion, highlighting its remarkable features, such as inherent topological protection and the influence of the AFM exchange interaction Q AFM τ = prefix− 1 4 π ijk m i τ · ( bold-italicm bold-italicj bold-italicτ × bold-italicm bold-italick bold-italicτ ) , τ = A , B …”
Section: Simulation Methodsmentioning
confidence: 99%
“…To ensure accurate and efficient analysis, we discretize the simulated models into tetragonal elements measuring 1 × 1 × 1 nm 3 , utilizing the finite difference method. This discretization technique allows us to precisely capture the intricate nanoscale behavior . By making the grid size small enough, we can numerically mimic the atomistic model conditions to effectively simulate antiferromagnetic systems , (see Supporting Movie S1).…”
Section: Simulation Methodsmentioning
confidence: 99%
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“…Magnetic skyrmions as topological information carriers have been widely explored for integration in emerging computing systems. Specifically, [22,30,[49][50][51][52] use skyrmions for memory, [53][54][55][56][57][58][59][60] use skyrmions for logic gates, and [61][62][63][64][65] use skyrmions for neuromorphic computing applications. This section focuses on skyrmion logic gates and the associated driving scheme, while the following section shifts the focus to skyrmions in neuromorphic computing systems.…”
Section: Skyrmion Logicmentioning
confidence: 99%