Process control and base line monitoring using optical 'On the Fly' and SEM classification as implemented in advanced DRAM manufacturing

S. Ralf, P. Sina, S. Dvori, M. Bernhard
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Abstract

As technology advances and device complexity increases, an efficient combination of automatic Optical OTF (On The Fly) and SEM classification is required to ensure reliable and tight in-line process control. In order to monitor a wide variety of critical defects, patterned wafer inspection is performed at higher sensitivity. As a result in some process steps, such as Deep Trench, the overall defect level increases dramatically making the monitoring of critical defects difficult, since they represent a small percentage of the total count. The following article demonstrates that by integrating automatic classification on Optical inspection and SEM review, and setting up class density SPC on fab YMS it is possible to achieve efficient process control. The methodology that was developed at Infineon Dresden using Applied Materials' Compass inspection tool and SEMVision review system is presented together with the results obtained in the project. The implementation of OTF and SEM ADC at Infineon Deep Trench layer used high accuracy & purity classification strategy leading to efficient process control using base line class density monitoring. An alternative strategy based on lower accuracy/purity results allows class excursion control only. The two classification engines are complimentary to one another. OMNIVIEW technology provides the Compass with unique OTF classification capabilities. OTF is performed during the inspection and enables real time comprehensive feedback on the process by isolating and reporting critical defects. Class density monitoring on these defect types is done either with Compass or with the SEMVision, which offers higher resolution ADC. Smart sampling is performed after OTF and the pre-selected defect types are Classified with the SEMVision ADC. As a result of combined OTF and SEM ADC strategy, review capacity is utilized efficiently, and fulfills the lot-sampling requirement for optimal process control.
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在先进的DRAM制造中,使用光学“动态”和SEM分类进行过程控制和基线监控
随着技术的进步和设备复杂性的增加,需要将自动光学OTF (On The Fly)和SEM分类有效地结合起来,以确保可靠和严密的在线过程控制。为了监测各种各样的关键缺陷,图像化晶圆检测以更高的灵敏度进行。结果在一些过程步骤中,例如Deep Trench,总体缺陷水平急剧增加,使得对关键缺陷的监视变得困难,因为它们代表了总数的一小部分。下面的文章表明,通过集成光学检测和扫描电镜评审的自动分类,并在晶圆厂YMS上建立类密度SPC,可以实现有效的过程控制。本文介绍了英飞凌德累斯顿利用应用材料公司的Compass检测工具和SEMVision评审系统开发的方法,以及项目中获得的结果。在英飞凌Deep Trench层实现OTF和SEM ADC使用高精度和纯度分类策略,通过基线类密度监测实现高效的过程控制。另一种基于较低精度/纯度结果的替代策略只允许类偏移控制。这两种分类引擎是互补的。OMNIVIEW技术为Compass提供了独特的OTF分类能力。OTF在检查期间执行,并通过隔离和报告关键缺陷来实现对过程的实时全面反馈。对这些缺陷类型的类密度监视可以用Compass或SEMVision完成,后者提供更高分辨率的ADC。在OTF之后进行智能采样,并使用SEMVision ADC对预先选择的缺陷类型进行分类。结合OTF和SEM ADC策略,有效地利用了评审能力,满足了最优过程控制的批量抽样要求。
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