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Enabling Accurate and Robust Optical Metrology of in Device Overlay

Min-Seok Kang,Chan Hwang,Seung Yoon Lee,Jeongjin Lee,Joon-Soo Park, Christian Leewis, Eun-Ji Yang,Do-Haeng Lee,James Lee, Sabil Huda,Noh-Kyoung Park, Anagnostis Tsiatmas,Giulio Bottegal, Amy Wang, Filippo Belletti, Jan Jitse Venselaar,Giacomo Miceli, Izabela Saj, Sam Chen

METROLOGY, INSPECTION, AND PROCESS CONTROL FOR MICROLITHOGRAPHY XXXIV(2020)

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摘要
Utilizing a unique high NA optical system, a new methodology to measure device overlay accurately has been developed with a key differentiation. Historically, optical techniques to measure features below the image resolution require supporting measurement techniques to be used as a reference to anchor the optical measurement. This novel selfreference methodology enables accurate and robust optical metrology for device features after etch eliminating the need for external reference measurements such as Decap, x-sections or high landing energy SEMs. In this paper, we discuss how a high NA Optical Metrology system enables measurements on small area device replica targets, which enables the ability to create a reference target for device measurements. The methodology utilizes this reference target to enable accurate direct on device overlay measurements without the need for an external reference. Furthermore, the technique is expanded to improve the robustness of the measurement and monitor live in production the health of the recipe, ensuring accuracy overtime. This ultimately leads to a method to extend the recipes in real-time based on the health KPIs. The improved accurate and robust device overlay measurements have proven to improve the overlay performance compared to other techniques. This, combined with the speed of optical systems, enables unconstrained dense measurements directly on device structures after etch, allowing for improved overlay control.
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关键词
Machine Learning,Overlay,Optical Metrology,robustness,DRAM,after etch,in device measurements,self-reference
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