Micromagnetic Computer Simulated Scaling Effect of S-Shaped Permalloy Nano-Element on Operating Fields for and or or Logic

Abo, Gavin S.; Hong, Yang‐Ki; Choi, Byoung Kyu; Donahue, Michael J.; Bae, Seok; Jalli, Jeevan; Park, Jihoon; Lee, Jaejin; Park, Mun-Hyoun; Gee, S. H.

doi:10.1109/tmag.2011.2175743

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…We used Object Oriented Micromagnetic Framework (OOMMF) to analyze our experimental results, using a 10-nm by 10-nm in-plane pixel area and a 25-nm permalloy thickness. The simulations assumed a saturation magnetization M s = 800 kA/m, and exchange stiffness A = 1.3 × 10 -12 J/m [19]. In simulations, ASI are saturated in fields oriented along 𝞿 = 0 o , and then the magnetic field is swept from zero to 600 Oe with 5…”

Section: Methodsmentioning

confidence: 99%

Vertex dependent dynamic response of a connected Kagome artificial spin ice

Frotanpour

Woods

Farmer

et al. 2021

Applied Physics Letters

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We present the dynamic response of a connected Kagome artificial spin ice with emphasis on the effect of the vertex magnetization configuration on the mode characteristics. We use broadband ferromagnetic resonance (FMR) spectroscopy and micromagnetic simulations to identify and characterize resonant modes. We find the mode frequencies of elongated, single-domain film segments not only depend on the orientation of their easy-axis with respect to the applied magnetic field, but also depend on the vertex magnetization configuration, which suggests control over the FMR mode can be accomplished by altering the vertex magnetization. Moreover, we study differences between the vertex center mode (VCM) and the localized domain wall (LDW) mode. We show that the LDW mode acts as a signature of the domain wall (DW) nucleation process and the DW dynamics active during segment reversal events. The results show the VCM and LDW modes can be controlled using a field protocol, which has important implications for applications in magnonic and spintronic devices.

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Section: Methodsmentioning

confidence: 99%

Vertex dependent dynamic response of a connected Kagome artificial spin ice

Frotanpour

Woods

Farmer

et al. 2021

Applied Physics Letters

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“…We used the Object Oriented Micromagnetic Framework (OOMMF) to simulate the equilibrium magnetization texture and FMR spectrum. We used a pixel size of 10 × 10 × 25 nm 3 , and a Permalloy saturation magnetization M s = 800 kA/m and exchange stiffness A = 1.3 × 10 -12 J/m [35] . We recorded the magnetization vectors for each pixel generated by OOMMF and used them as input to simulate the FMR signal.…”

Section: Methodsmentioning

confidence: 99%

“…From a technology perspective, the spin wave spectrum of Kagome ASI is very rich, which is desirable for applications in magnonic devices [30][31][32][33][34]. Moreover, Kagome ASI exhibits a two-step reversal process that depends on the angle of applied DC magnetic field [8,12], which also has potential applications in magnetic switching systems and spintronics devices [13,26,35].…”

Section: Introductionmentioning

confidence: 99%

Angular-dependent dynamic response and magnetization reversal in Fibonacci-distorted kagome artificial spin ice

et al. 2021

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We have measured the angular dependence of ferromagnetic resonance (FMR) spectra for Fibonacci-distorted, Kagome artificial spin ice (ASI). The number of strong modes in the FMR spectra depend on the orientation of the applied DC magnetic field. In addition, discontinuities observed in the FMR field-frequency dispersion curves also depend on DC field orientation, and signal a multi-step DC magnetization reversal, which is caused by the reduced energy degeneracy of Fibonacci-distorted vertices. The results suggest the orientation of applied magnetic field and severity of Fibonacci distortion constitute control variables for FMR modes and multi-step reversal in future magnonic devices and magnetic switching systems.

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“…The gyromagnetic ratio (γ) was set to 2.211 × 10 5 A −1 ·s −1 , while the saturation magnetization (M s ) was determined to be 8 × 10 5 A/m. The stiffness constant (A) was considered to be 13 × 10 −12 J/m [ 35 , 36 , 37 ]. In these simulations, we did not include magnetocrystalline anisotropy for the permalloy nanowires.…”

Section: Micromagnetic Simulationsmentioning

confidence: 99%

Tunable Magnetic Properties of Interconnected Permalloy Nanowire Networks

et al. 2023

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In this study, we investigate the magnetic properties of interconnected permalloy nanowire networks using micromagnetic simulations. The effects of interconnectivity on the hysteresis curves, coercivity, and remanence of the nanowire networks are analyzed. Our results reveal intriguing characteristics of the hysteresis curves, including nonmonotonic behaviors of coercivity as a function of the position of horizontal nanowires relative to vertical nanowires. By introducing horizontal nanowires at specific positions, the coercivity of the nanowire networks can be enhanced without altering the material composition. The normalized remanence remains relatively constant regardless of the position of the horizontal wires, although it is lower in the interconnected nanowire arrays compared to nonconnected arrays. These findings provide valuable insights into the design and optimization of nanowire networks for applications requiring tailored magnetic properties.

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Micromagnetic Computer Simulated Scaling Effect of S-Shaped Permalloy Nano-Element on Operating Fields for and or or Logic

Cited by 9 publications

References 22 publications

Vertex dependent dynamic response of a connected Kagome artificial spin ice

Vertex dependent dynamic response of a connected Kagome artificial spin ice

Angular-dependent dynamic response and magnetization reversal in Fibonacci-distorted kagome artificial spin ice

Tunable Magnetic Properties of Interconnected Permalloy Nanowire Networks

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