Paper
2 June 2000 New approach to the focus exposure matrix (FEM) sample measurement using CD-SEM
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Abstract
Besides feature size control of advanced semiconductor device manufacturing, critical dimension (CD) measurement SEMs are also indispensable tools for the development of advanced semiconductor manufacturing equipment or new semiconductor manufacturing materials. Especially in the case of advanced stepper and resist development for ultra micro patterns where the role of CD-SEMs is particularly important for evaluation specific samples, such as focus exposure matrix (FEM). An FEM sample is a wafer that has hundreds to thousands of patterns created with varying resist exposure dosage and Stepper focuses. As a result, the pattern shape and the line width vary dramatically within one wafer and the number of CD-SEM measurement points necessary to evaluate such FEM samples also increases drastically with decreasing semiconductor design rules. Thus, a CD-SEM that can measure FEM samples with high throughput and high reliability is strongly desired. For this purpose Hitachi has developed a new pattern detection algorithm. This algorithm detects a target and judges the quality of the actual pattern by using criteria similar to those a human operator might use when measuring the sample. With this method implemented on a Hitachi CD-SEM S-9200 we achieved a highly automated, fast and accurate measurement of FEM samples on which conventional algorithms failed.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hidetoshi Morokuma, Satoru Yamaguchi, Tatsuya Maeda, Takashi Iizumi, and Kazuo Ueda "New approach to the focus exposure matrix (FEM) sample measurement using CD-SEM", Proc. SPIE 3998, Metrology, Inspection, and Process Control for Microlithography XIV, (2 June 2000); https://doi.org/10.1117/12.386447
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Cited by 2 scholarly publications.
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KEYWORDS
Finite element methods

Semiconducting wafers

Time metrology

Algorithm development

Detection and tracking algorithms

Semiconductors

Semiconductor manufacturing

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