CTM-SRAF: Continuous Transmission Mask-based Constraint-aware Sub Resolution Assist Feature Generation

Ziyang Yu*, Peiyu Liao, Yuzhe Ma, Bei Yu, Martin D.F. Wong

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review


In the lithography process, subresolution assist features (SRAFs), as an essential resolution enhancement technique (RET), is applied to improve the pattern fidelity and enlarge the process window. In this article, we propose a robust constraint-aware SRAF generation method based on continuous transmission mask (CTM). The intensity distribution on the CTM is extracted to guide the SRAF generation. The SRAF insertion also honors the design rules, which is formulated as integer programming with quadratic constraints and solved by a fast yet efficient algorithm. A fast probe-based SRAF evolution method is proposed to determine the shapes of SRAFs. The effectiveness and efficiency are demonstrated based on the experimental results.

Original languageEnglish
Pages (from-to)3402-3411
Number of pages10
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Issue number10
Early online date25 Jan 2023
Publication statusPublished - Oct 2023

Scopus Subject Areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Continuous transmission mask (CTM)
  • design for manufacturability
  • subresolution assist feature (SRAF) generation


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