Source Optimization under Thick Mask Model

Yang Liu, Yiyu Sun, Yanqiu Li, Pengzhi Wei, Lihui Liu, Enze Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Source optimization(SO) is a key method of resolution enhancement technology. However, as the technique node enters 45 nm and below, the influence of thick mask effect has become apparent. The result of source optimization considering the mask as a thin film is inaccurate. In this paper, we propose a source optimization model considering thick mask structure. We establish the theoretical model of source optimization with gradient method and compressive sensing(CS) method. The typical masks of 45nm, 28nm and 22nm were selected for simulation. The optimized source provides better imaging performance, while the simulation speed has been improved by using CS method.

Original languageEnglish
Title of host publication2020 4th International Workshop on Advanced Patterning Solutions, IWAPS 2020
EditorsYayi Wei, Tianchun Ye
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728175775
DOIs
Publication statusPublished - 5 Nov 2020
Event4th International Workshop on Advanced Patterning Solutions, IWAPS 2020 - Chengdu, China
Duration: 5 Nov 20206 Nov 2020

Publication series

Name2020 4th International Workshop on Advanced Patterning Solutions, IWAPS 2020

Conference

Conference4th International Workshop on Advanced Patterning Solutions, IWAPS 2020
Country/TerritoryChina
CityChengdu
Period5/11/206/11/20

Keywords

  • FDTD
  • compressive sensing
  • source optimization
  • thick mask

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