DocumentCode
725139
Title
Automatic metrology algorithm identification using Pattern Matching
Author
Fischer, Daniel S. ; Akid, Khaled ; Abdelhaliem, Dina ; Abed, Islam S. ; LeBritton, Joe ; Opitz, Juli ; Dragiewicz, Nick ; McGinty, Christopher ; Lavigne, Erin
Author_Institution
Dev. Metrol., IBM Syst. & Dev. Group, NY, USA
fYear
2015
fDate
3-6 May 2015
Firstpage
124
Lastpage
129
Abstract
The number of measurement points and their types are increasing with the increasing challenges of the new technology nodes. The industry is challenged to enhance and automate the current Design Based Metrology (DBM) recipe generation flow. This paper describes a novel methodology based on Pattern Matching (PM) to automate the flow of assigning the metrology algorithm parameter to each measurement location. Each measurement location in the design space is examined against a pre-populated database of patterns to select the proper metrology algorithm. The proposed technique increases the speed and efficiency of assigning this parameter to each location, and hence increases the speed of CD-SEM recipe generation. This novel flow is expected to ensure consistency between process characterization, modeling, verification and product monitoring and control.
Keywords
database management systems; pattern matching; production control; scanning electron microscopy; semiconductor device measurement; CD-SEM recipe generation; DBM recipe generation flow; design based metrology recipe generation flow; measurement location; measurement points; metrology algorithm parameter; pattern matching; process characterization; product control; product monitoring; Algorithm design and analysis; Buildings; Engines; Layout; Libraries; Metrology; Pattern matching; CD-SEM Metrology; Metrology; Metrology Algorithm; Pattern Matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Semiconductor Manufacturing Conference (ASMC), 2015 26th Annual SEMI
Conference_Location
Saratoga Springs, NY
Type
conf
DOI
10.1109/ASMC.2015.7164482
Filename
7164482
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