研究目的
To address the issue of NFT self-heating in HAMR technology, which significantly reduces write-head lifetimes, by deriving fundamental limits on the temperature ratio NFT/Media and employing inverse electromagnetic design software to reduce NFT self-heating.
研究成果
The study concludes that a fat NFT with a large solid angle of heat conduction, combined with a computationally generated waveguide pattern, can significantly reduce NFT self-heating by ～50% (220 °C) compared with typical industry designs, potentially improving HAMR write head lifetimes.
研究不足
The study does not account for the anisotropic thermal conductivity of HAMR granular media and its under-layers, or the exact structural design of the NFT. The computational expense of 3-D simulations of nanoscale metallic structures and a multi-layered medium is also a limitation.
1：Experimental Design and Method Selection:
The study involves deriving a simple analytic model for the ratio of temperature rise in the NFT to the temperature rise in the media hotspot and using inverse electromagnetic design software for optimizing 3-D electromagnetic structures.
2：Sample Selection and Data Sources:
The study uses a commercial finite difference time domain (FDTD) Maxwell solver, Lumerical FDTD, for simulations.
3：List of Experimental Equipment and Materials:
The equipment includes a high-performance computing cluster consisting of 336 cores and 668 GB RAM over 26 nodes, and materials include a metallic optical antenna or near-field transducer (NFT), waveguide, and multi-layered hard disk medium.
4：Experimental Procedures and Operational Workflow:
The procedure involves simulating a pulse of light injected into the waveguide of the HAMR system and propagated in the time domain toward the NFT, write pole, and media.
5：Data Analysis Methods:
The analysis involves using gradient-based optimization via the adjoint method to efficiently optimize the freeform shape of the NFT and waveguide.
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