薄金属的先进光学建模,以提高散射模型的鲁棒性和准确性

C. Hartig, A. Urbanowicz, D. Likhachev, Ines Altendorf, A. Reichel, M. Weisheit
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引用次数: 0

摘要

在生产控制中使用的大多数散射模型都假定薄膜堆中包含的材料具有恒定的光学特性。仅假定维度参数为自由度。这种假设会对模型的精度和准确性产生负面影响(特别是随着关键维度的缩小趋势)。在这项工作中,我们将重点关注线后端应用中Cu和TaN/Ta光学特性的建模,并考虑Cu光学特性在沟槽中和作为衬底的影响。我们还考虑了当铜在薄膜堆中作为衬底时的铜透明度阈值。在超薄铜衬底的情况下,模型输出失效。这一事实常常没有反映在拟合度中。研究表明,精确的光学建模对于实现微电子生产过程自动控制所需的散射模型质量至关重要。结果,我们得到了明显更好的匹配电数据。因此,电气性能可以在生产流程的早期进行预测。本文提出的建模方法可以应用于所有技术节点,也可以应用于其他薄金属,如Co和Ru。
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Advanced optical modeling of thin metals for improved robustness and accuracy of scatterometric models
The majority of scatterometric models used in production control assume constant optical properties of the materials included into the film stack. Only dimensional parameters are assumed as the degrees of freedom. This assumption negatively impacts model precision and accuracy (especially with the trend of scaling down the critical dimensions). In this work we focus on the modeling of Cu and TaN/Ta optical properties in back-end-of-line applications and consider the impact of Cu optical properties modifications in the trenches and as a substrate. We also consider the Cu transparency threshold when Cu acts as a substrate in the film stack. In the case of ultrathin Cu substrate the model output becomes invalid. Quite frequently this fact is not reflected in the goodness of fit. We show that accurate optical modeling of Cu is essential to achieve the required scatterometric model quality for automatic process control in microelectronic production. As a result, we obtain appreciably better matching with electrical data. Therefore, electrical performance can be predicted early in production flow. The modeling methodology presented here can be applied for all technology nodes and also other thin metals such as Co and Ru.
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