极紫外光刻
高斯分布
表面光洁度
计算机科学
标准差
临界尺寸
噪音(视频)
高斯噪声
极端紫外线
图像质量
图像复原
高斯模糊
光学
图像(数学)
算法
GSM演进的增强数据速率
材料科学
直线(几何图形)
人工智能
物理
图像处理
数学
统计
几何学
量子力学
复合材料
激光器
作者
Timothy A. Brunner,Xuemei Chen,Allen H. Gabor,Craig Higgins,Lei Sun,Chris A. Mack
摘要
Our paper will use stochastic simulations to explore how EUV pattern roughness can cause device failure through rare events, so-called "black swans". We examine the impact of stochastic noise on the yield of simple wiring patterns with 36nm pitch, corresponding to 7nm node logic, using a local Critical Dimension (CD)-based fail criteria Contact hole failures are examined in a similar way. For our nominal EUV process, local CD uniformity variation and local Pattern Placement Error variation was observed, but no pattern failures were seen in the modest (few thousand) number of features simulated. We degraded the image quality by incorporating Moving Standard Deviation (MSD) blurring to degrade the Image Log-Slope (ILS), and were able to find conditions where pattern failures were observed. We determined the Line Width Roughness (LWR) value as a function of the ILS. By use of an artificial "step function" image degraded by various MSD blur, we were able to extend the LWR vs ILS curve into regimes that might be available for future EUV imagery. As we decreased the image quality, we observed LWR grow and also began to see pattern failures. For high image quality, we saw CD distributions that were symmetrical and close to Gaussian in shape. Lower image quality caused CD distributions that were asymmetric, with "fat tails" on the low CD side (under-exposed) which were associated with pattern failures. Similar non-Gaussian CD distributions were associated with image conditions that caused missing contact holes, i.e. CD=0.
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