2015IEEE Transactions on MagneticsRequires access

Areal Density Prediction for Microwave-Assisted Magnetic Recording

K. K. Teo, Kheong Sann Chan, Simon John Greaves, Yasushi Kanai

Open publisher page 4 citations

Abstract

In this paper, we perform an estimate of the areal density achievable for microwave-assisted magnetic recording (MAMR) using micromagnetic simulations (μ-mag), the grain-flipping probability (GFP) model, and a software recording channel simulation platform. In previous work, at Tohoku, micromagnetic simulations were run for the MAMR based on various grain sizes and bit lengths in a shingled magnetic recording scheme on single-layer recording media with high anisotropy energy. The micromagnetic outputs are subsequently used to characterize the GFP model and run low-density parity check coded channel simulations at the DSI. The channel simulations determine the code rate needed to make the MAMR work from which the user areal density for shingled MAMR can be determined. This system-level study gives us insight into the impact the error rates and the signal-to-noise ratio have on the areal density for the MAMR.

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What this paper is about

In this paper, we perform an estimate of the areal density achievable for microwave-assisted magnetic recording (MAMR) using micromagnetic simulations (μ-mag), the grain-flipping probability (GFP) model, and a software recording channel simulation platform. In previous work, at Tohoku, micromagnetic simulations were run for the MAMR based on various grain sizes and bit lengths in a shingled magnetic recording scheme on single-layer recording media with high anisotropy energy. The micromagnetic outputs are subsequently used to characterize the GFP model and run low-density parity check coded channel simulations at the DSI. The channel simulations determine the code rate needed to make the MAMR work from which the user areal density for shingled MAMR can be determined. This system-level study gives us insight into the impact the error rates and the signal-to-noise ratio have on the areal density for the MAMR.

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Available abstract

In this paper, we perform an estimate of the areal density achievable for microwave-assisted magnetic recording (MAMR) using micromagnetic simulations (μ-mag), the grain-flipping probability (GFP) model, and a software recording channel simulation platform. In previous work, at Tohoku, micromagnetic simulations were run for the MAMR based on various grain sizes and bit lengths in a shingled magnetic recording scheme on single-layer recording media with high anisotropy energy. The micromagnetic outputs are subsequently used to characterize the GFP model and run low-density parity check coded channel simulations at the DSI. The channel simulations determine the code rate needed to make the MAMR work from which the user areal density for shingled MAMR can be determined. This system-level study gives us insight into the impact the error rates and the signal-to-noise ratio have on the areal density for the MAMR.

Key concepts: Area density, Micromagnetics, Patterned media, Microwave, Channel (broadcasting), Materials science, Anisotropy, Anisotropy energy

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