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Layout Based Monte-Carlo Simulation (LBMCS) for Complex Back End of Line (BEOL) Design Rule Study

机译:基于布局的Monte-Carlo模拟(LBMC),用于线路的复杂后端(BEOL)设计规则研究

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While BEOL process/integration stride to explore new technologies to support scaling needs, BEOL design rules are hindering design scaling due to the increasing process complexity. A design rule calculation tool that can consider all relevant process variation and calculate certain failure rate under the combination of these variation is in great need. In this paper, we introduce a Layout Based Monte Carlo Simulation (LBMCS) tool for this purpose and demonstrate three use cases. The first case is the "bird beak" fail where sharp angle may form when via is placed near metal above inner vertex due to Self-Aligned Via process. LBMCS can help to predict the fail rate considering all variations while analytical prediction is almost impossible. The second case is via contact size failure that involves 5 process steps. While the complex calculation can be easily handled, we show that the LBMCS outputs can help to analyze and determine the most sensitive Process Assumption (PA), which can help to improve the yield and Design for Manufacturing (DfM) optimization. The third case is to help resolving competing rules in a design arc. We propose a new design check-off flow based on LBMCS that goes beyond design rules.
机译:虽然BEOL流程/集成步幅探索新技术以支持缩放需求,但BEOL设计规则是由于过程复杂性的增加而阻碍了设计缩放。一个设计规则计算工具,可以考虑所有相关的过程变化并在这些变化的组合下计算某些故障率,实际上很需要。在本文中,我们为此目的介绍了基于布局的蒙特卡罗模拟(LBMC)工具,并展示了三种用例。第一壳体是“鸟喙”失效,当由于通过过程自对准的内顶点上方的金属靠近金属附近,尖锐角度可能形成尖锐角度。 LBMC可以帮助预测考虑所有变化的故障率,而分析预测几乎是不可能的。第二种情况是通过涉及5个过程步骤的接触尺寸故障。虽然可以轻松处理复杂的计算,但我们表明LBMCS输出有助于分析和确定最敏感的过程假设(PA),这有助于提高制造(DFM)优化的产量和设计。第三种情况是帮助在设计弧中解决竞争规则。我们提出了一种基于LBMC的新设计检查流,超出了设计规则。

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