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OPC model space approach to in-line process monitoring structures

机译:在线过程监控结构的OPC模型空间方法

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With shrinking technology nodes and increasing geometries criticity, it has become more and more difficult to conceive fast and accurate in-line check to insure process quality for each lithography level. Time and costs limit metrology options.A commonly accepted solution consists in some CD measurement on high contrast structure for each critical level. However, the RET complexity of current layouts makes this solution no longer fully reliable and allows non-conform materials to pass through the check. The idea behind this article (patent pending) is to add a second verification by creating a set of small structures layouted to cover specific coordinates in the model parameters space. Extrapolated model parameters allow to layout geometries encircling the OPC space region occupied by the production device. Those structures shall bridge or pinch for litho or process deviations before any detectable impact on the most sensitive shapes present in the product. Total size of few square microns is required to stay within a single SEM picture. The use of image processing based on pattern recognition on SEM pictures to assess their sensitivity to process variations permits a fast analysis. As a matter of fact, this approach will allow getting reliability by watching the whole model space and economic compatibility as the procedure is fast and cost-effective.
机译:随着技术节点的减少和几何形状的日益增加,为了确保每个光刻级别的工艺质量,构想快速而准确的在线检查变得越来越困难。时间和成本限制了计量选择。 普遍接受的解决方案是在每个关键级别的高对比度结构上进行一些CD测量。但是,当前布局的RET复杂性使该解决方案不再完全可靠,并允许不合格的材料通过检查。本文的目的(正在申请专利)是通过创建一组布局以覆盖模型参数空间中特定坐标的小结构来添加第二次验证。外推模型参数允许布局围绕生产设备所占据的OPC空间区域的几何形状。在对产品中最敏感的形状产生任何可检测到的影响之前,这些结构应桥接或捏合光刻或工艺偏差。保持在一张SEM图片中的总尺寸为几平方微米。在SEM图片上使用基于模式识别的图像处理来评估其对工艺变化的敏感性,可以进行快速分析。实际上,由于该过程快速且具有成本效益,因此该方法将通过观察整个模型空间和经济兼容性来提高可靠性。

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