Heat-assisted magnetic recording (HAMR) is a potential enabling technology for ultrahigh density data storage
systems. In HAMR, a near-field transducer (NFT) delivers a subdiffraction heat spot to record bits of data
on a high-anisotropy magnetic media. We developed an intuitive 1D Fourier model that expedites the analysis
and design of the NFT. Among other strengths, the simple model predicts rather surprisingly and in agreement
with 3D simulations, that for metallic nanoresonators the longitudinal component of the electric field dominates
the heat transfer to the media. The proposed Fourier model serves well as a platform to study electromagnetic
behavior such as field confinement and heat spot generation of 3D NFT designs.
C. H. Gan, R. Fernandez-Garcia, M. J. Hardy, A. Neira, S. Bance, and M. A. Gubbins, "Design of plasmonic near-field transducers in heat-assisted magnetic recording: 1D Fourier approach," Proc. SPIE 9921, Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XIV, 99211X (Presented at SPIE Nanoscience + Engineering: September 01, 2016; Published: 17 September 2016); https://doi.org/10.1117/12.2236844.
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