Inverse optical design using quasi-two-dimensional partially coherent imaging for photolithography overlay metrology

A. Ohkubo, S. Jang, Jungchul Lee, Sangwoo Bae
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Abstract

Overlay measurement error is a critical technical issue in the production of highly stacked semiconductor devices, including VNAND memory chips, CMOS image sensors, and three-dimensional packages. Complicated device structure and stacked structure increase the measurement error of overlay alignment mark position. Inverse optical design or system optimization is required to improve overlay metrology accuracy and measurement robustness. Illumination light source wavelength, source bandwidth, illumination mode, and imaging pupil filter can be optimized for overlay metrology signal with various kinds of complicated device structure. We proposed a practical inverse optical solution to improve the accuracy of overlay metrology. The inverse optical design consists of overlay mark reflectance estimation and optical configuration optimization. Both the estimation and optimization are accelerated using a quasi-two-dimensional partially coherent imaging model. We achieve more than 50 times faster imaging simulation acceleration compared to a conventional simulation algorithm for partially coherent illumination imaging with practical accuracy. Further improvement can be realized with an introduce of an overlay mark reflectance matrix computed by a rigorous electromagnetic analysis simulation for each specific device structure. This robust and practical inverse solution can help improve the overlay accuracy and manufacturing yield of highly complex three-dimensional devices.
利用准二维部分相干成像进行光刻叠加计量的逆光学设计
叠加测量误差是生产高堆叠半导体器件的关键技术问题,包括VNAND存储芯片、CMOS图像传感器和三维封装。复杂的器件结构和堆叠结构增加了叠加对中标记位置的测量误差。为了提高叠加测量精度和测量鲁棒性,需要进行逆向光学设计或系统优化。针对各种复杂器件结构的叠加计量信号,可以优化照明光源波长、光源带宽、照明方式和成像瞳孔滤光片。为了提高叠加测量的精度,提出了一种实用的逆光学解决方案。反光学设计包括覆盖标记反射率估计和光学结构优化。利用准二维部分相干成像模型加速了估计和优化。与传统的部分相干照明成像模拟算法相比,我们实现了50倍以上的成像模拟加速,具有实用的精度。通过对每个特定器件结构进行严格的电磁分析仿真计算,引入覆盖标记反射矩阵,可以实现进一步的改进。这种鲁棒且实用的逆解有助于提高高度复杂三维器件的覆盖精度和制造良率。
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