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Reaching for the True Overlay in Advanced Nodes

机译:达到高级节点中的真实叠加层

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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,重叠计量的总测量不确定性(TMU)侧重于动态精度,刀具引起的位移,和匹配,而很少检查不准确。然而,一些研究人员最近表明,测量误差仍然可以优化,尽管小TMU大。此外,这种不准确性可以在高级节点消耗覆盖预算的显著部分。除了在线资格晶圆的覆盖误差,覆盖计量也用于提高产品上的覆盖,因为它提供纠正反馈到光刻扫描器。校正项作为结果的精度直接依赖于测量精度。这样,增强的重叠精度将提高再加工薄饼,或随后暴露晶片的重叠性能。我们先前已经证明,一个分段的开花目标是更容易比非分段目标不对称诱导的不精确性是[1]。由于目标分割是不可避免的SADP和SAQP构图工艺,由此所产生的叠加表现留下了很多有待改进。在我们寻求为达到真正的叠加,本文报道的精度增强技术我们的调查基于图像的目标,如冗余和自校准,并在使用的模拟优化的基于散射测量的目标。

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