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Process variation aware OPC with variational lithography modeling
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 43rd annual Design Automation Conference table of contents
San Francisco, CA, USA
SESSION: Session 45: design/technology interaction table of contents
Pages: 785 - 790  
Year of Publication: 2006
ISBN:1-59593-381-6
Authors
Peng Yu  University of Texas at Austin, Austin, TX
Sean X. Shi  University of Texas at Austin, Austin, TX
David Z. Pan  University of Texas at Austin, Austin, TX
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 55,   Citation Count: 4
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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 2-3x 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Peng Yu: colleagues
Sean X. Shi: colleagues
David Z. Pan: colleagues