Title :
Simultaneous control of multiple measures of nonuniformity using site models and monitor wafer control
Author :
Saxena, Sharad ; Mozumder, Purnendu K. ; Taylor, Kelly J.
Author_Institution :
Semicond. Process & Device Center, Texas Instrum. Inc., Dallas, TX, USA
fDate :
2/1/1996 12:00:00 AM
Abstract :
Present day semiconductor manufacturing processes are subject to tight specifications. High yields with tight process specifications require drive to target process control. As the size of the wafer in the semiconductor industry increases, nonuniformity across the wafer becomes a crucial yield limiting issue. Modeling nonuniformity in terms of the equipment settings permits calculation of recipes required to achieve the desired nonuniformity. However, models for single measures of nonuniformity, such as standard deviation, or range, do not capture all aspects of the nonuniformity and often do not model well in terms of the equipment settings. This paper describes the use of spatial models to simultaneously quantify multiple measures of nonuniformity, and a controller to keep the nonuniformities within specifications, Use of spatial models in conjunction with a monitor wafer controller (MWC) enables the simultaneous control of multiple nonuniformity measures. The paper presents the results of applying the MWC with spatial models to a plasma enhanced TEOS (PETEOS) deposition process on an Applied Materials Precision 5000 (AMT5000). The controller has been keeping the PETEOS process within specifications for over two years
Keywords :
integrated circuit yield; plasma CVD; process control; semiconductor process modelling; PETEOS; deposition process; equipment settings; monitor wafer control; multiple nonuniformity measures; plasma enhanced TEOS; process control; semiconductor manufacturing processes; site models; spatial models; tight process specifications; yields; Electronics industry; Manufacturing processes; Measurement standards; Monitoring; Plasma materials processing; Plasma measurements; Process control; Semiconductor device modeling; Semiconductor materials; Semiconductor process modeling;
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on