DocumentCode
2471351
Title
Process variation aware OPC with variational lithography modeling
Author
Yu, Peng ; Shi, Sean X. ; Pan, David Z.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX
fYear
0
fDate
0-0 0
Firstpage
785
Lastpage
790
Abstract
Optical proximity correction (OPC) is one of the most widely used resolution enhancement techniques (RET) in nanometer designs to improve subwavelength printability. Conventional model-based OPC assumes nominal process parameters without considering process variations, due to prohibitive runtimes of lithography simulations across process windows. This is the first paper to propose a true process-variation aware OPC (PV-OPC) framework. It is enabled by the variational lithography modeling and guided by the variational edge placement error (V-EPE) metrics. Due to the analytical nature of our models, our PV-OPC is only about 2-3 times slower than the conventional OPC, but it explicitly considers the two main sources of process variations (dosage and focus) during OPC. Thus our post PV-OPC results are much more robust than the conventional OPC ones, in terms of both geometric printability and electrical characterization under process variations
Keywords
nanolithography; proximity effect (lithography); semiconductor process modelling; electrical characterization; geometric printability; lithography simulations; nanometer designs; optical proximity correction; process-variation aware OPC framework; resolution enhancement techniques; subwavelength printability; variational edge placement error metrics; variational lithography modeling; Computer applications; Design automation; Focusing; Lithography; Manufacturing processes; Optical design; Optical design techniques; Robustness; Runtime; Timing; Algorithms; Design; Lithography modeling; OPC; Performance; Reliability; process variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2006 43rd ACM/IEEE
Conference_Location
San Francisco, CA
ISSN
0738-100X
Print_ISBN
1-59593-381-6
Type
conf
DOI
10.1109/DAC.2006.229324
Filename
1688902
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