DocumentCode
2332336
Title
TIP-OPC: a new topological invariant paradigm for pixel based optical proximity correction
Author
Yu, Peng ; Pan, David Z.
Author_Institution
Texas Univ., Austin
fYear
2007
fDate
4-8 Nov. 2007
Firstpage
847
Lastpage
853
Abstract
As the 193 nm lithography is likely to be used for 45 nm and even 32 nm processes, much more stringent requirement will be posed on optical proximity correction (OPC) technologies. Currently, there are two OPC approaches - the model-based OPC (MB-OPC) and the inverse lithography technology (ILT). MB-OPC generates masks which is less complex compared with ILT. But ILT produces much better results than MB-OPC in terms of contour fidelity because ILT is a pixel based method. Observing that MB-OPC preserves the mask shape topologies which leads to a lower mask complexity, we combine the strengths of both methods - the topology invariant property and the pixel based mask representation. To the best of our knowledge, it is the first time that this topological invariant pixel based OPC (TIP-OPC) paradigm is proposed, which fills the critical hole of the OPC landscape and potentially has many new applications. Our technical novelty includes the lithography friendly mask topological invariant operations, the efficient fast Fourier transform based cost function sensitivity computation and the TIP-OPC algorithm. The experimental results show that TIP-OPC can achieve much better post OPC contours compared with MB-OPC while maintaining the mask shape topologies.
Keywords
electronics industry; fast Fourier transforms; lithography; masks; sensitivity; TIP-OPC; cost function sensitivity computation; fast Fourier transform; inverse lithography technology; mask complexity; mask shape topologies; model-based OPC; optical proximity correction; pixel-based mask representation; topological invariant paradigm; topology invariant property; Cost function; Degradation; Electronics industry; Fast Fourier transforms; Image segmentation; Lithography; Optical sensors; Shape; Tagging; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design, 2007. ICCAD 2007. IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Print_ISBN
978-1-4244-1381-2
Electronic_ISBN
1092-3152
Type
conf
DOI
10.1109/ICCAD.2007.4397370
Filename
4397370
Link To Document