Overlay improvement by ASML HOWA 5th alignment strategy

Lithography Asia Pub Date : 2009-12-03 DOI:10.1117/12.839816
R. Wang, Cy Chiang, W. Hsu, Richer Yang, Todd T. Shih, Jackie H. Chen, J.F. Chiu, W. Lin
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引用次数: 11

Abstract

Overlay control is more challenging when DRAM volume production continues to shrink its critical dimention (CD) to 70nm and beyond. Effected by process, the overlay behavior at wafer edge is quite different from wafer center. The big contribution to worse overlay at wafer edge which causes yield loss is misalignment. The analysis in wafer edge suggests that high order uncorrectable overlay residuals are often observed by certain process impact. Therefore, the basic linear model used for alignment correction is not sufficient and it is necessary to introduce an advanced alignment correction model for wafer edge overlay improvement. In this study, we demonstrated the achievement of moderating the poor overlay at wafer edge area by using a high order wafer alignment strategy. The mechanism is to use non-linear correction methods of high order models ( up to 5th order), with support by the function High Order Wafer Alignment (known as HOWA) in scanner. Instead of linear model for the 6 overlay parameters which come from average result, HOWA alignment strategy can do high order fitting through the wafer to get more accurate overlay parameters which represent the local wafer grid distortion better. As a result, the overlay improvement for wafer edge is achieved. Since alignment is a wafer dependent correction, with HOWA the wafer to wafer overlay variation can be improved dynamically as well. In addition, the effects of different mark quantity and sampling distribution from HOWA are also introduced in this paper. The results of this study indicate that HOWA can reduce uncorrectable overlay residual by 30~40% and improve wafer-to-wafer overlay variation significantly. We conclude that HOWA is a noteworthy strategy for overlay improvement. Moreover, optimized alignment mark numbers and distribution layout are also key factors to make HOWA successful.
ASML HOWA第五对齐策略的覆盖改进
当DRAM量产继续将其临界尺寸(CD)缩小到70纳米及以上时,覆盖层控制变得更具挑战性。受工艺的影响,晶圆边缘的覆盖行为与晶圆中心有很大的不同。造成晶圆边缘覆层恶化而造成良率损失的主要原因是不对中。晶圆边缘的分析表明,由于某些工艺影响,经常会观察到高阶不可校正的覆盖残余。因此,用于对中校正的基本线性模型是不够的,有必要引入一种先进的对中校正模型来改善晶圆边缘叠加。在这项研究中,我们展示了通过使用高阶晶圆对准策略来缓和晶圆边缘区域的不良覆盖的成就。其机制是使用高阶模型(最高5阶)的非线性校正方法,并由扫描仪中的高阶晶圆对准功能(称为HOWA)支持。HOWA对准策略可以通过晶圆进行高阶拟合,以获得更准确的覆盖参数,从而更好地代表局部晶圆网格畸变。结果表明,晶圆边缘的覆盖层得到了改善。由于对准是与晶圆相关的校正,使用HOWA,晶圆与晶圆之间的覆盖变化也可以动态改善。此外,本文还介绍了HOWA中不同标记量和采样分布的影响。研究结果表明,HOWA可以减少30~40%的不可校正覆盖层残留,并显著改善片间覆盖层的变化。我们得出结论,HOWA是一种值得注意的覆盖改进策略。此外,优化的对线标记数量和分布布局也是HOWA成功的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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