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Chemical and structural analysis on magnetic tunnel junctions using a decelerated scanning electron beam

机译:减速扫描电子束对磁性隧道结的化学和结构分析

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摘要

Current information technology relies on the advancement of nanofabrication techniques. For instance, the latest computer memories and hard disk drive read heads are designed with a 12 nm node and 20 nm wide architectures, respectively. With matured nanofabrication processes, a yield of such nanoelectronic devices is typically up to about 90%. To date the yield has been compensated with redundant hardware and software error corrections. In the latest memories, approximately 5% redundancy and parity bits for error corrections are used, which increase the total production cost of the devices. This means the yield directly affects the device costs. It is hence critical to increase the yield in nanofabrication. In this paper, we have applied our recently developed method to image buried interfaces in combination with chemical analysis to evaluate magnetic tunnel junctions and have revealed their different magnetoresistance ratios caused by the presence of materials formed at the junction edges. The formation of these materials can be avoided by optimising the junction patterning process to remove residual carbon introduced from resist. Our imaging method with chemical analysis have demonstrated a significant potential for the improvement of junction performance, resulting in higher yields. This can be used as a quality assurance tool in a nanoelectronic device production line.
机译:当前的信息技术依赖于纳米制造技术的进步。例如,最新的计算机内存和硬盘驱动器读头分别设计为具有12 nm节点和20 nm宽的体系结构。随着成熟的纳米制造工艺,这种纳米电子器件的产率通常高达约90%。迄今为止,产量已经通过冗余的硬件和软件错误校正得到了补偿。在最新的存储器中,大约有5%的冗余和奇偶校验位用于纠错,这增加了设备的总生产成本。这意味着成品率直接影响设备成本。因此,提高纳米加工的产量至关重要。在本文中,我们将我们最近开发的方法与化学分析相结合,对掩埋的界面进行了成像,以评估磁性隧道结,并揭示了由于结缘处形成的材料而导致的磁阻比不同。这些材料的形成可以通过优化结图案化工艺来消除从抗蚀剂中引入的残留碳来避免。我们的化学分析成像方法显示出改善结点性能的巨大潜力,从而提高了产量。这可以用作纳米电子器件生产线中的质量保证工具。

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