Dependence of Predicted Areal Density on Common Optimization Strategies for Heat-Assisted Magnetic Recording

Yipeng Jiao; R. H. Victora

doi:10.1109/LMAG.2017.2719625

Dependence of Predicted Areal Density on Common Optimization Strategies for Heat-Assisted Magnetic Recording

Yipeng Jiao, R. H. Victora

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

The ultimate user storage-area density for heat-assisted magnetic recording is an important consideration both from research and commercial perspectives. We propose two new algorithms to accelerate recording simulations based on general-purpose computing graphics processing units. We predict user areal density with current technologies and those expected to be available in the near future. Micromagnetic simulation predicts a user areal density of 1.8 Tb/in². Optimization of track pitch in the absence of track misregistration increases the density to 5 TBit/in² for perfect recording.

Original language	English (US)
Article number	7956162
Journal	IEEE Magnetics Letters
Volume	8
DOIs	https://doi.org/10.1109/LMAG.2017.2719625
State	Published - Jun 23 2017

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.

Keywords

Information storage
heat-assisted magnetic recording
micromagnetic models
recording physics

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Dependence of Predicted Areal Density on Common Optimization Strategies for Heat-Assisted Magnetic Recording

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