Model-based assist features

Autor: Anwei Liu, Bayram Yenikaya, Oleg Alexandrov, Steven Chen, Apo Sezginer, Ali Mokhberi
Rok vydání: 2009
Předmět:
Zdroj: SPIE Proceedings.
ISSN: 0277-786X
DOI: 10.1117/12.829938
Popis: We present a model-based method of generating and optimizing sub-resolution assist features. Assist feature generation is based on a focus sensitivity map derived from a cost function that minimizes the variations in the printed pattern with respect to focus change. We also demonstrate a method to generate mask-friendly SRAF polygons from the focus sensitivity map. After model-based placement, assist features and the main polygons are optimized together by moving their edge segments. One of the optimization goals is that side-lobes and assist features should not print. This is enforced by computing image on a two dimensional grid. We demonstrate the process window improvement for a contact layer example.
Databáze: OpenAIRE