残余气体分析仪(RGA)在ALD氧化物颗粒还原中的应用:缺陷检测与还原

R. Jani, John Sukjin Kim, Minhwa Kim Jacoby, S. Rajendran, Shrikant Kashibhatla
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引用次数: 1

摘要

优化NF3清理对于最小化过程中看到的缺陷至关重要。在本文中,我们采用了一种不同的方法,使用传统和非传统的端点方法来最大限度地减少粒子。通常在清洗配方中监测的清洗指标,也在沉积过程中监测。在沉积过程中,额外的净化大大减少了清洗副产物的残留物。我们通过减少和稀释NF3流的额外测试表明,清洁效率有所提高。在本文中,我们证明了在优化清洗时间的同时,利用各种方法对NF3清洗配方进行优化可以减少过程中出现的缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Residual Gas Analyzer(RGA) for Particle Reduction in ALD Oxide : DI: Defect Inspection and Reduction
Optimizing NF3 cleaning is crucial in minimizing defects seen in the process. In this paper, we took a different approach to maximize particle reduction using both conventional and non- conventional endpointing methods. Cleaning indicators, typically monitored during cleaning recipe, were also monitored during deposition. Implementation of additional purging significantly reduced remnants of cleaning byproducts during deposition. Our additional testing with reduction and dilution of NF3 flow showed improvements in cleaning efficiency. In this paper, we show that optimization of NF3 cleaning recipe using methods in addition to cleaning time optimization can reduce defects seen in the process.
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