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Advanced CD-SEM metrology for qualification of DSA patterns using coordinated line epitaxy (COOL) process

机译:使用协调线外延(COOL)流程的DSA模式资格的高级CD-SEM计量

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Directed self-assembly (DSA) applying chemical epitaxy is one of the promising lithographic solutions for next generation semiconductor device manufacturing. Especially, DSA lithography using coordinated line epitaxy (COOL) process is obviously one of candidates which could be the first generation of DSA applying PS-b-PMMA block copolymer (BCP) for sub-15nm dense line patterning. DSA can enhance the pitch resolutions, and can mitigate CD errors to the values much smaller than those of the originally exposed guiding patterns. On the other hand, local line placement error often results in a worse value, with distinctive trends depending on the process conditions. To address this issue, we introduce an enhanced measurement technology of DSA line patterns with distinguishing their locations in order to evaluate nature of edge placement and roughness corresponding to individual pattern locations by using images of CD-SEM. Additionally correlations among edge roughness of each line and each space are evaluated and discussed. This method can visualize features of complicated roughness easily to control COOL process. As a result, we found the followings. (1) Line placement error and line placement roughness of DSA were slightly different each other depending on their relative position to the chemical guide patterns. (2) In middle frequency area of PSD (Power Spectral Density) analysis graphs, it was observed that shapes were sensitively changed by process conditions of chemical stripe guide size and anneals temperature. (3) Correlation coefficient analysis using PSD was able to clarify characteristics of latent defect corresponding to physical and chemical property of BCP materials.
机译:应用化学外延的定向自组装(DSA)是下一代半导体器件制造的有希望的光刻解决方案之一。特别是,使用协调线外延(COOL)过程的DSA光刻显然是候选者中的一种,这可能是用于施加PS-B-PMMA嵌段共聚物(BCP)的第一代DSA用于亚15nm致密线图案化。 DSA可以增强音调分辨率,并可以将CD误差降低到比最初暴露的指导模式小的值。另一方面,本地线路放置错误通常会导致更差的值,这取决于过程条件的独特趋势。为了解决这个问题,我们介绍了DSA线模式的增强测量技术,通过使用CD-SEM的图像来评估与各个图案位置对应的边缘放置和粗糙度的性质。另外,评估并讨论每个线的边缘粗糙度和每个空间之间的相关性。该方法可以轻松地可视化复杂粗糙度的特征来控制冷却过程。结果,我们找到了以下内容。 (1)DSA的线放置误差和线放置粗糙度根据其对化学导向图案的相对位置略微不同。 (2)在PSD的中频区域(功率谱密度)分析图中,观察到通过化学条纹引导尺寸和退火温度的工艺条件敏感地改变了形状。 (3)使用PSD的相关系数分析能够阐明与BCP材料的物理和化学性质相对应的潜在缺陷的特征。

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