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Reaching for the True Overlay in Advanced Nodes

机译:在高级节点中达到真正的覆盖

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摘要

Traditionally, the total measurement uncertainty (TMU) of overlay metrology focuses on dynamic precision, tool-induced-shift, and matching, while rarely examining inaccuracy. However, some researchers have recently shown that measurement inaccuracy can still be large despite optimized small TMU. Moreover, this inaccuracy can consume a significant portion of the overlay budget in the advanced nodes. In addition to qualifying the overlay error of inline wafers, overlay metrology is also used for improving on-product overlay as it provides corrective feedback to the lithography scanner. The accuracy of the correction terms as a result depends directly upon the measurement accuracy. As such, enhanced overlay accuracy will improve the overlay performance of reworked wafers, or subsequently exposed wafers. We have previously shown that a segmented Blossom target is more prone to asymmetry-induced inaccuracy than a non-segmented target is [1]. Since target segmentation is inevitable for SADP and SAQP patterning processes, their resulting overlay performance leaves a lot to be desired. In our quest to reach for the true overlay, this paper reports our investigations on accuracy enhancement techniques for image-based targets, such as redundancy and self-calibration, and on the use of simulation-optimized scatterometry-based targets.
机译:传统上,叠加计量学的总测量不确定度(TMU)侧重于动态精度,工具引起的偏移和匹配,而很少检查不准确性。但是,一些研究人员最近表明,尽管优化了较小的TMU,但测量误差仍然会很大。而且,这种不准确性会消耗高级节点中覆盖预算的很大一部分。除了限定在​​线晶圆的覆盖误差外,覆盖计量还用于改善产品上的覆盖,因为它向光刻扫描仪提供了校正反馈。结果,校正项的精度直接取决于测量精度。这样,提高的覆盖精度将改善返工晶片或随后暴露的晶片的覆盖性能。先前我们已经表明,与未分段的目标相比,分段的Blossom目标更容易出现不对称性导致的不准确性[1]。由于目标分割对于SADP和SAQP图案化过程是不可避免的,因此它们产生的叠加性能还有很多不足之处。为了寻求真正的覆盖,本文报告了我们对基于图像的目标的精度增强技术(例如冗余和自校准)以及对模拟优化的基于散射测量的目标的使用情况的研究。

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