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A Systematic Study on BEOL Defectivity Control for Future AI Application

机译:BEOL缺陷控制在未来AI应用中的系统研究

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In this paper, a case study on control of BEOL defectivity in a systematic way for the future AI application is presented. A few novel methodologies were introduced to identify the source of defectivity in various BEOL sectors, such as, patterning, barrier deposition, plating, and CMP. We successfully reduced the defectivity to the level required to yield target AI devices.
机译:在本文中,以系统的方式控制BEOL缺陷的案例研究被提出,以用于未来的AI应用。引入了一些新颖的方法来识别各种BEOL部门中缺陷的来源,例如图案化,势垒沉积,电镀和CMP。我们成功地将缺陷率降低到了生产目标AI设备所需的水平。

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