通过虚拟制造提高良率:利用失效仓分类、良率预测和工艺窗口优化来识别和预防工艺故障

Qingpeng Wang, Yu De Chen, Jacky Huang, Wuping Liu, Ervin Joseph
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引用次数: 1

摘要

本文提供了一个利用虚拟制造技术提高良率的实例。本文以一个基于6晶体管的7nm节点静态随机存取存储器为例进行了研究。模拟并分析了通孔接触-金属边缘放置误差造成的良率损失。结果表明,通过优化工艺窗口和改进规格控制,收率可从48.4%提高到99.0%。在非优化和优化过程模型中,我们都发现高电阻失效是最主要的失效模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Yield Enhancement by Virtual Fabrication: Using Failure Bin Classification, Yield Prediction and Process Window Optimization to Identify and Prevent Process Failures
This paper provides an example of yield enhancement using virtual fabrication. A 6 transistors based static random access memory example on 7nm node technology was used in this case study. Yield loss caused by via contact-metal edge placement error was modeled and analyzed. The results show that yield can be enhanced from 48.4% to 99.0% through process window optimization and improved specification control. We identified high resistance failure as the top failure mode in both non-optimized and optimized process models.
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