A Systematic Study on BEOL Defectivity Control for Future AI Application

J. Chen, F. Lie, S. Devries, C. Boye, Sanjay Mehta, T. Devarajan, M. Silvestre, W. Tseng, M. Aminpur
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引用次数: 1

Abstract

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.
面向未来人工智能应用的BEOL缺陷控制系统研究
本文以系统控制BEOL缺陷为例,对未来的人工智能应用进行了研究。介绍了一些新的方法来确定各种BEOL部门的缺陷来源,如图案,屏障沉积,电镀和CMP。我们成功地将缺陷降低到生产目标人工智能设备所需的水平。
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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