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Validation of ArF PSM quality using AIMS simulation method inrepeated cleaning

机译:使用AIMS模拟方法验证ArF PSM的质量,重复进行清洁

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Since the haze generation causes unexpected wafer yield losses, it has been a serious issue on wafer lithography as illumination wavelengths become shorter with 248nm and 193nm. Several papers regarding to cleaning and its effect on haze generation have been published. A mask is cleaned periodically to prevent from the haze generation. These periodic or repetitive cleanings causes unacceptable phase and transmittance variation. Therefore, the number of cleaning cycles has been limited to meet limitation of phase and transmittance.In this paper, relaxation for pass or fail criteria was studied based on phase and transmittance margin, as one of the solutions of cleaning limitation. Optimum cleaning cycles were determined by using AIMS (Aerial Image Measurement system) simulation methods. Various parameters such as phase and transmittance variation, depth profile, intensity, CD (Critical Dimension) with line and space and contact pattern of pre and post cleaned ArF PSM were measured whenever a mask was cleaned repeatedly. Moreover, a mask quality was validated based on the measured parameters, considering limitation of phase and transmittance and lithography margin. The cleaning and validation were repeated several times until intensity and CD were out of limitation. Based on these studies, a correlation model between the numbers of cleaning cycles and measured parameters from AIMS simulation were developed. The newly developed correlation model was used for an estimating parameter for the optimum number of cleaning cycles to be performed.
机译:由于雾度的产生会导致意想不到的晶圆良率损失,因此照明波长随着248nm和193nm变短而在晶圆光刻方面一直是一个严重的问题。关于清洁及其对雾度产生的影响的几篇论文已经发表。定期清洁口罩,以防止产生雾霾。这些定期或重复清洁会导致不可接受的相位和透射率变化。因此,清洗循环的次数受到限制,以满足相位和透射率的限制。 在本文中,基于相位和透射率裕度研究了合格或不合格准则的松弛,作为清洁极限的解决方案之一。最佳清洁周期是通过使用AIMS(航空影像测量系统)模拟方法确定的。每当重复清洗掩模时,都要测量各种参数,例如相位和透射率变化,深度分布,强度,CD(临界尺寸),线和间隔以及清洗前后ArF PSM的接触图案。此外,考虑到相位和透射率的限制以及光刻余量,基于测量的参数对掩模质量进行了验证。重复清洁和验证几次,直到强度和CD超出限制。在这些研究的基础上,建立了清洗周期数与AIMS模拟测得的参数之间的相关模型。新开发的相关模型用于估计参数,以获得最佳清洁周期数。

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