Contour based on-device overlay metrology assessment using synthetic SEM images

Thibaut Bourguignon, B. Le Gratiet, J. Pradelles, S. Bérard-Bergery, G. Rademaker, N. Possémé
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引用次数: 1

Abstract

The shift of semiconductor industry applications into demanding markets as spatial and automotive led to high quality requirements to guaranty good performances and reliability in harsh environments. As reliability is directly related to a well-controlled process, characterizing the local overlay and its variations inside the chip itself becomes a real asset. While most available in-chip overlay metrologies require dedicated target or dedicated tools, we developed a new method that aims to augment the current SEM tool park into measuring the local overlay directly on the product. In a previous proceeding, this on-device and target-free overlay measurement based on CD-SEM contours has been assessed on SRAM patterns and showed promising results. The work presented here pushes forward this assessment using SEM synthetic images generated from the open-source Nebula simulator of electron-matter interaction. From a layout, a 3D geometry of the measured pattern can be generated, with materials and interfaces carefully defined. Then, a GPU-accelerated Monte-Carlo model simulates in tens of seconds the SEM image. This fast generation of images enables the use of synthetic SEM images in a digital twin system: they can be used to characterize and to challenge the overlay metrology, before applying it to real products. Indeed, a known overlay can be programmed in these images. This way the performances of the measurement algorithm can be assessed with a ground truth reference. Firstly, imaging parameters such as pixel size and noise have been varied in a wide range. This demonstrated a good accuracy and precision inside a defined measurement window with a coefficient of correlation above 0.996 and an offset lower than 0.2nm. In a second part, the influence of the pattern measured has been investigated and experimental results on SRAM could be reproduced using synthetic images. The origin of the loss of sensitivity has been identified and improvements in the contour extractions and used template led to a correlation with a slope of 1.03, an offset of 0.1nm and a Root Mean Square Deviation of 1.36 nm. Finally, the developed digital twin already showed behaviors in the measurement that were hidden in the on-wafer experiments, that helped assessing the method and which will be used in the future to define guidelines for template-based SEM-OVL measurements.
基于轮廓的设备覆盖计量评估,利用合成扫描电镜图像
半导体工业应用向空间和汽车等苛刻市场的转变导致了高质量要求,以保证在恶劣环境下的良好性能和可靠性。由于可靠性与良好控制的过程直接相关,因此表征局部覆盖层及其在芯片内部的变化成为一项真正的资产。虽然大多数可用的片内覆盖测量需要专用目标或专用工具,但我们开发了一种新方法,旨在将当前的SEM工具库扩展到直接测量产品上的局部覆盖。在之前的研究中,这种基于CD-SEM轮廓的器件上和无目标覆盖测量已经在SRAM模式上进行了评估,并显示出有希望的结果。本文介绍的工作利用开源星云电子-物质相互作用模拟器生成的SEM合成图像推进了这一评估。从布局中,可以生成测量图案的3D几何形状,并仔细定义材料和接口。然后,利用gpu加速蒙特卡罗模型在数十秒内模拟出扫描电镜图像。这种快速生成的图像可以在数字孪生系统中使用合成SEM图像:在将其应用于实际产品之前,它们可以用于表征和挑战覆盖计量。事实上,已知的叠加可以在这些图像中编程。这样,测量算法的性能就可以用一个接地真值参考来评估。首先,成像参数如像素大小和噪声在很大范围内变化。在定义的测量窗口内具有良好的准确度和精密度,相关系数大于0.996,偏移量小于0.2nm。在第二部分中,研究了测量的图案对SRAM的影响,并利用合成图像再现了实验结果。灵敏度损失的根源已经确定,轮廓提取和使用模板的改进导致相关性斜率为1.03,偏移量为0.1nm,均方根偏差为1.36 nm。最后,开发的数字孪生体已经显示了隐藏在晶圆实验中的测量行为,这有助于评估方法,并将在未来用于定义基于模板的SEM-OVL测量指南。
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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