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Image Parameter-Based Scatter Bar Optimization

机译:基于图像参数的散点栏优化

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Scatter Bar (SBAR) insertion is a computationally expensive operation. SBAR are usually generated rule-based. SBAR rule tables dictate the insertion of SBAR with different SBAR width dependent on the width of the printable main features and the spacing between the main features and SBAR. Optimization of the SBAR rules drives manufactures to ever more complex SBAR tables which increase the runtime. In advanced process nodes, SBAR printing issues, missing SBAR due to clean-up problems and joining SBAR of different width together remain challenging. On the other hand, pixelized inversion methods may yield optimized SBAR solutions, especially in terms of SBAR placement for contact layers, but comes at the expense of significant computational effort and increased mask writing and inspection time. Since OPC changes the spacing between SBAR and main features, an accurate and optimized SBAR solution requires OPC and SBAR optimization to run interactively. This work focuses on both line/space and contact layers To ensure fast SBAR optimization, SBAR placement and SBAR width optimization are separated. SBAR of uniform width are placed fast driven by a simple rule-based table comprising only a single SBAR width. This intermediate SBAR layer is subject into a model-based approach, which fragments the SBAR layer based on proximity with respect to the main features or other SBAR, and assigns measurement sites to each SBAR fragment. A model is used to move each SBAR fragment inward or outward so that the image cut line shows a maximum SBAR intensity closer to a predefined SBAR printing threshold. While the main features are unchanged, several iterations are applied to converge the SBAR fragments. Keeping the SBAR fragments fixed, OPC is applied to the main features. Repeating these steps allows optimization of the SBAR width and the OPC simultaneously. Site based as well as contours based verification methods are applied to ensure that the SBAR printing margin has been significantly improved. The improved SBAR printing margin allows manufactures to apply more aggressive SBAR placement rules, which, in addition to the optimized SBAR width, helps to enlarge the depth of focus, therefore, widen the common process window of the lithography process.
机译:散射杆(SBAR)插入是计算昂贵的操作。 SBAR通常是基于规则的。 SBAR规则表决定了SBAR的插入具有不同的SBAR宽度,这些宽度取决于可打印主功能的宽度和主功能和SBAR之间的间距。 SBAR规则的优化驱动器制造成更复杂的SBAR表,这些表格增加了运行时。在高级流程节点中,SBAR打印问题,由于清理问题和不同宽度的连接SBAB的缺失SBAR在一起保持具挑战性。另一方面,像素化反转方法可以产生优化的SBAR解决方案,尤其是对于接触层的SBAR放置而言,但是以显着的计算工作和增加的掩模写入和检查时间来实现。由于OPC更改了SBAR和主要功能之间的间距,因此精确且优化的SBAR解决方案需要OPC和SBAR优化以交互方式运行。这项工作侧重于线/空间和接触层,以确保快速SBAL优化,SBAR放置和SBAR宽度优化分开。均匀宽度的SBAR通过仅包括单个SBAR宽度的简单规则的表快速驱动。该中间SBAR层受到基于模型的方法,该方法是基于关于主特征或其他SBAR的接近分段的SBAR层,并将测量站点分配给每个SBAR片段。模型用于向内或向外移动每个SBAR片段,使得图像切割线显示更靠近预定义的SBAR打印阈值的最大SBAR强度。虽然主要功能不变,但应用了几个迭代来汇聚SBAR片段。保持SBAR碎片修复,OPC应用于主要功能。重复这些步骤允许同时优化SBAR宽度和OPC。基于站点和基于轮廓的基于轮廓的验证方法,以确保SBAR打印裕度得到显着提高。改进的SBAR打印裕度允许制造商应用更具侵略性的SBAR放置规则,除了优化的SBAR宽度之外,还有助于放大焦点,因此,扩大了光刻过程的公共过程窗口。

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