光刻缺陷控制中光迹监测的重要性

Nathaniel Mowell, B. Sheumaker, Timothy Han, Joe Chaung, Shail P. Sanghavi, Y. Khopkar, F. Levitov, Brandon Bielec, D. Salvador, Kareem Naguib, Vu Nguyen
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A sampling of defect locations, per wafer, are reviewed on Defect Review Scanning Electron Microscope (DR SEM) and classified using Automatic Defect Classification (ADC). Control limits are set for the process based on statistical data trends over time allowing for Statistical Process Control (SPC) charts to be generated (Figure 1).The excursion wafers and, by correlation, lithography excursions are identified based on the SPC methodologies. Inaccurate inspection data, labeled as inspection tool excursions, can cause true lithography-related excursions to be missed. Therefore, stable and reliable inspection data is crucial. Through recipe stabilization we have been able to achieve long term stability.The effectiveness of this PTM inspection flow is highlighted in the case of a stepper striping defect caused by a fiber on the immersion hood assembly. 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引用次数: 1

摘要

对光刻工艺的精确控制对半导体工业的大批量生产至关重要。随着集成电路设计继续向越来越小的节点移动,以及越来越复杂的架构,光刻步骤的数量及其对整个过程的重要性也在增加。目前自对齐双模式(SADP)和自对齐四模式(SAQP)的进展正在推动这些增长。随着光刻步骤的增加,对光刻过程和工具健康状况进行有效监控变得至关重要。在本文中,我们介绍了光刻光轨迹监测(PTM)的当前方法,使用检查,审查和分类来允许偏移和工具健康监测。由于其与生产过程的相似性,该PTM鉴定过程比其他方法更有利于评估光刻性能。PTM增加了一条新的防线,并捕获了一个新的信号,可以直接与产品缺陷相关联,比以前的干燥或涂层鉴定过程更有效。生成的数据提供了对材料和工具问题的反馈,使其更有助于确定工艺,硬件或光化学问题的根本原因。PTM提供了在不使用生产晶圆的情况下评估和确定风险水平的机会。经过光刻轨迹和扫描仪处理后,在高数值孔径、正常照度、深紫外激光检测平台上对PTM晶圆进行检测。在缺陷检查扫描电子显微镜(DR SEM)上检查每个晶圆的缺陷位置,并使用自动缺陷分类(ADC)进行分类。根据统计数据趋势为过程设定控制限制,允许生成统计过程控制(SPC)图表(图1)。偏移晶圆和通过相关性,光刻偏移是基于SPC方法确定的。不准确的检测数据,标记为检测工具偏差,可能导致遗漏真正的光刻相关偏差。因此,稳定可靠的检测数据至关重要。通过配方稳定,我们已经能够实现长期稳定。这种PTM检测流程的有效性在浸入式罩组件上的纤维引起的步进条纹缺陷的情况下得到突出显示。其他光刻监测方法,轨迹监视器和扫描仪颗粒检查,没有显示出这一缺陷,强调PTM检测方法的有用性。PTM在SPC图表上的失败,因此被标记为偏差并促使调查,有助于减少产品晶圆的暴露。在PTM失效之前加工的产品晶圆显示出相同的条纹特征,证明PTM与产品直接相关。这种相关性允许PTM晶圆用于在工具内运行分区,以识别缺陷的根源,并验证纤维是否成功去除,而不是冒着生产的风险进行重新认证。光刻技术在当前半导体加工中的重要性要求能够监控和控制光刻工具和工艺。正如三年来所证明的那样,PTM的检查提供了稳定可靠的缺陷图和用于光刻偏移监测的SEM分类图像。
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Criticality of Photo Track Monitoring for Lithography Defect Control
Precise control over the lithography process is vital to high volume manufacturing in the semiconductor industry. As integrated circuit design continues to move to smaller and smaller nodes, with increasingly intricate architectures, the number of lithography steps and their importance to the overall process grows. Current advances in Self-Aligned Double Patterning (SADP) and Self-Aligned Quadruple Patterning (SAQP) are driving these increases. As the number of lithography steps increases it becomes critical to have effective monitoring of both the lithography process and tool health. In this paper we present the current methodology for lithography Photo Track Monitoring (PTM) using Inspection, Review, and Classification to allow for excursion and tool health monitoring.This PTM qualification process is advantageous over other methodologies for evaluating lithography performance due to its similarity to production processing. PTM adds a new line of defense and captures a new signal that can be directly correlated to on-product defectivity more effectively than previous dry or coat- only qualification processes. The data generated provides feedback on material and tool issues lending it to be more useful for determining root cause of process, hardware or photo chemical concerns. PTM gives the opportunity to evaluate and determine level of risk without utilizing production wafers.After processing through the lithography track and scanner, PTM wafers are inspected on a high Numerical Aperture, normal illumination, Deep Ultraviolet laser-based inspection platform. A sampling of defect locations, per wafer, are reviewed on Defect Review Scanning Electron Microscope (DR SEM) and classified using Automatic Defect Classification (ADC). Control limits are set for the process based on statistical data trends over time allowing for Statistical Process Control (SPC) charts to be generated (Figure 1).The excursion wafers and, by correlation, lithography excursions are identified based on the SPC methodologies. Inaccurate inspection data, labeled as inspection tool excursions, can cause true lithography-related excursions to be missed. Therefore, stable and reliable inspection data is crucial. Through recipe stabilization we have been able to achieve long term stability.The effectiveness of this PTM inspection flow is highlighted in the case of a stepper striping defect caused by a fiber on the immersion hood assembly. Other lithography monitoring methodologies, track monitors and scanner particle checks, did not show this defect, emphasizing the usefulness of the PTM detection method. The PTM failing on the SPC chart, thus flagged as an excursion and prompting investigation, helped to reduce exposure of product wafers. The product wafers that did process prior to the PTM failure showed an identical striping signature proving a direct correlation of PTM to product. This correlation allowed for PTM wafers to be used to run partitions within the tool to identify root- source of defect and to verify the fiber was successfully removed instead of risking production for requalification.The importance of lithography in current semiconductor processing necessitates the ability to monitor and control the lithography tools and process. As demonstrated over three years, inspection of PTM provides stable reliable defect maps and SEM classified images that are utilized for lithography excursion monitoring.
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