Paper
11 March 2002 OPC strategies to minimize mask cost and writing time
Author Affiliations +
Abstract
As k1 factors decline, optical proximity correction (OPC) treatments required to maintain dimensional tolerances involve increasingly complex correction shapes. This translates to more detailed, larger mask pattern databases. Intricate, dense mask-layouts increase mask writing time and cost. OPC employment within a growing number of lithography layers compounds the issue, leading to skyrocketing mask-set costs and long turn-times. ASIC manufacturing, where average chip life cycles consume less than 500 wafers, is particularly hard hit by elevated mask manufacturing costs. OPC increases mask data mainly by adding geometric detail - serifs, hammerheads, jogs, etc - to the design layout. The vertex count, a measure of shape complexity, typically expands by a factor of 2 to 5, depending on OPC objectives and accuracy requirements. OPC can also increase hierarchic data file size through loss of hierarchic compression. In this paper we outline several alternatives for reducing OPC data base size and for making OPC layout configurations friendlier to mask fabrication tools. An underlying assumption is that there is an optimum OPC treatment dictated by the behavior of the process, and that approximations to this ideal involve trade-offs with OPC accuracy. To whatever extent OPC effectiveness can be maintained while accuracy is compromised, mask complexity can be reduced.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael L. Rieger, Jeffrey P. Mayhew, Jiangwei Li, and James P. Shiely "OPC strategies to minimize mask cost and writing time", Proc. SPIE 4562, 21st Annual BACUS Symposium on Photomask Technology, (11 March 2002); https://doi.org/10.1117/12.458287
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CITATIONS
Cited by 13 scholarly publications and 7 patents.
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KEYWORDS
Optical proximity correction

Tolerancing

Photomasks

Semiconducting wafers

Databases

Prototyping

Manufacturing

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