Presentation
Curvilinear Optical Proximity Correction via Cardinal Spline
DescriptionThis paper presents a novel curvilinear optical proximity correction (OPC) framework.
The proposed approach involves representing mask patterns with control points, which are interconnected through cardinal splines.
Mask optimization is achieved by iteratively adjusting these control points, guided by lithography simulation.
To ensure compliance with mask rule checking (MRC) criteria, we develop comprehensive methods for checking width, space, area, and curvature.
Additionally, to match the performance of inverse lithography techniques (ILT), we design algorithms to fit ILT results and resolve MRC violations.
Extensive experiments demonstrate the effectiveness of our methodology, highlighting its potential as a viable OPC/ILT alternative.
The proposed approach involves representing mask patterns with control points, which are interconnected through cardinal splines.
Mask optimization is achieved by iteratively adjusting these control points, guided by lithography simulation.
To ensure compliance with mask rule checking (MRC) criteria, we develop comprehensive methods for checking width, space, area, and curvature.
Additionally, to match the performance of inverse lithography techniques (ILT), we design algorithms to fit ILT results and resolve MRC violations.
Extensive experiments demonstrate the effectiveness of our methodology, highlighting its potential as a viable OPC/ILT alternative.
Event Type
Research Manuscript
TimeMonday, June 232:45pm - 3:00pm PDT
Location3004, Level 3
EDA
EDA8: Design for Manufacturing and Reliability