Paper
27 August 1997 Methods for the design of microelectronic devices and process flows for manufacturability
Sharad Saxena, Richard Burch, P. K. Mozumder, Karthik Vasanth, Suraj Rao, Joe Davis, Chenjing Fernando
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Abstract
Small feature sizes and reduced tolerances of state-of-the-art microelectronic devices make them extremely sensitive to manufacturing variations. This paper describes two approaches dealing with manufacturing variations: process control and statistical design for manufacturability. Process control seeks to reduce the variability of each process module and statistical design seeks to minimize the impact of the variability. An example illustrates the use of process control to minimize variability. Then, a novel approach for statistical design and its application to statistical optimization of deep submicron CMOS is described. This approach is based on a Markov representation of a process flow that captures the sequential and stochastic nature of semiconductor manufacturing. Using this approach we have been able to predict the variability in device performance for a number of process flows. Transistor designs and process flows optimized using this approach show lower variation in key device performances on fabrication.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sharad Saxena, Richard Burch, P. K. Mozumder, Karthik Vasanth, Suraj Rao, Joe Davis, and Chenjing Fernando "Methods for the design of microelectronic devices and process flows for manufacturability", Proc. SPIE 3212, Microelectronic Device Technology, (27 August 1997); https://doi.org/10.1117/12.284600
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Cited by 1 scholarly publication.
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KEYWORDS
Manufacturing

Process control

Semiconducting wafers

Design for manufacturability

Process modeling

Transistors

Stochastic processes

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