计量学
临界尺寸
尺寸计量学
测量不确定度
计算机科学
过程(计算)
集合(抽象数据类型)
半导体器件制造
计量系统
维数(图论)
算法
数据挖掘
工程类
光学
数学
统计
物理
电气工程
天文
薄脆饼
纯数学
程序设计语言
操作系统
作者
Nan Zhao,Lingling Pu,Teng Wang,Wentian Zhou,Ming Xu,Wei Fang,Brian Lee
摘要
In semiconductor industry, as physical sizes of integrated circuit (IC) components continue to shrink, critical dimension (CD) metrology plays an important role in manufacturing process monitor and control. However, when prior knowledge of E-beam tool conditions and statistics of underlying imaging samples are limited or missing, metrology parameters (such as imaging conditions and CD measurement parameters) are often selected empirically and not optimized in terms of measurement accuracy or precision. Common practice involved in fine-tuning some of the parameters may result in a time-consuming trial-and-error cycle. In this paper, we propose a guidance system to provide an optimized set of metrology parameters given a line/space pattern image or images of scanning electron microscope (SEM). The proposed system models input condition with a comprehensive set of model parameters and then statistical analysis is done based on modeling outputs. A set of metrology guidelines, such as measurement parameters and achievable precisions, can be recommended by the proposed system. The validity of our method has been demonstrated by comparing the recommended parameters with the optimal parameters found by brute-force search on a set of 100 SEM images of line/space patterns.
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