Paper
22 March 2011 Source and mask optimization applications in manufacturing
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Abstract
Among available lithography resolution enhancement techniques the Selective Inverse Lithography (SILT) approach recently introduced by authors [1] has been shown to provide the largest process window on lower-NA exposure tools for 65nm contact layer patterning. In present paper we attempt to harness the benefits of source mask optimization (SMO) approach as part of our hybrid RET. The application of source mask optimization techniques further extends the life-span of lower-NA 193nm exposure-tools in high volume manufacturing. By including SMO step in OPC flow, we show that model-based SRAF solution can be improved to approach SILT process variation (PV) band performance. Additionally to OPC, the complexity of embedded flash designs requires a high degree of exposure tool matching and a lithography process optimized for topographically different logic and flash areas. We present a method how SMO can be applied to scanner matching and topography-related optimization.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
ChinTeong Lim, Vlad Temchenko, Ulrich Klostermann, Vitaliy Domnenko, Jens Schneider, Daniel Sarlette, Ingo Meusel, Dieter Kaiser, and Ralf Ploss "Source and mask optimization applications in manufacturing", Proc. SPIE 7973, Optical Microlithography XXIV, 797322 (22 March 2011); https://doi.org/10.1117/12.879203
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Cited by 1 scholarly publication.
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KEYWORDS
Optical proximity correction

Source mask optimization

Scanners

Lithography

Photomasks

Manufacturing

Photovoltaics

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