Heat-assisted magnetic recording (HAMR) is one of the next generation technologies in data storage that can increase the areal density to beyond 1.5 Tb/in ² . Near-field transducer (NFT) is a key component of the HAMR system that locally heats the recording medium by concentrating light below the diffraction limit using surface plasmons. In this work, we use density-based topology optimization for inverse design of NFT for a desired temperature profile in the recording medium. We first perform an inverse thermal calculation to obtain the required volumetric heat generation (electric field) for a desired temperature profile. Then an inverse electromagnetic design of NFT is performed for achieving the desired electric field. NFT designs for both generating a small heated spot size and a heated spot with desired aspect ratio in recording medium are demonstrated.

中文翻译：

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使用拓扑优化的热辅助磁记录近场换能器的逆向设计

热辅助磁记录 (HAMR) 是下一代数据存储技术之一，可以将面密度提高到 1.5 Tb/in ^{2 以上} . 近场换能器 (NFT) 是 HAMR 系统的关键组件，它通过使用表面等离子激元将光集中到衍射极限以下来局部加热记录介质。在这项工作中，我们使用基于密度的拓扑优化来逆向设计 NFT，以获得记录介质中所需的温度分布。我们首先执行逆热计算以获得所需温度曲线所需的体积生热（电场）。然后执行 NFT 的逆电磁设计以实现所需的电场。演示了用于在记录介质中生成小热点尺寸和具有所需纵横比的热点的 NFT 设计。