Lithographic exposure latitude aware source and mask optimization

Lulu Zou, Lihui Liu, Yiyu Sun, Pengzhi Wei, Miao Yuan, Zhaoxuan Li, Yaning Li, Yanqiu Li
{"title":"Lithographic exposure latitude aware source and mask optimization","authors":"Lulu Zou, Lihui Liu, Yiyu Sun, Pengzhi Wei, Miao Yuan, Zhaoxuan Li, Yaning Li, Yanqiu Li","doi":"10.1117/12.2604844","DOIUrl":null,"url":null,"abstract":"Source and mask optimization (SMO) technology is an increasingly important resolution enhancement technology (RET) that can optimize the source and mask. Various SMO methods have made great progress in terms of computational efficiency and pattern fidelity. Besides, process window (PW) is also an important indicator to evaluate the performance of lithography imaging. PW consists of exposure latitude (EL) and depth of focus (DOF). However, currently, there are few SMO methods that can directly improve EL. In this paper, we propose an EL aware SMO (ELASMO) method by innovating a new penalty function for improving the exposure latitude. Compared to the conventional SMO, the proposed ELASMO can significantly enhance aerial image contrast and enlarge the exposure latitude from 5% to 11% under the premise of ensuring imaging fidelity. ELASMO achieves high-fidelity lithography in a larger process window.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2604844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Source and mask optimization (SMO) technology is an increasingly important resolution enhancement technology (RET) that can optimize the source and mask. Various SMO methods have made great progress in terms of computational efficiency and pattern fidelity. Besides, process window (PW) is also an important indicator to evaluate the performance of lithography imaging. PW consists of exposure latitude (EL) and depth of focus (DOF). However, currently, there are few SMO methods that can directly improve EL. In this paper, we propose an EL aware SMO (ELASMO) method by innovating a new penalty function for improving the exposure latitude. Compared to the conventional SMO, the proposed ELASMO can significantly enhance aerial image contrast and enlarge the exposure latitude from 5% to 11% under the premise of ensuring imaging fidelity. ELASMO achieves high-fidelity lithography in a larger process window.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
平版曝光纬度感知源和掩模优化
源与掩模优化(SMO)技术是一种日益重要的分辨率增强技术(RET),它可以优化源与掩模。各种SMO方法在计算效率和模式保真度方面都取得了很大的进步。此外,过程窗口(PW)也是评价光刻成像性能的重要指标。PW由曝光纬度(EL)和焦距(DOF)组成。然而,目前能够直接改善EL的SMO方法很少。在本文中,我们通过创新一个新的惩罚函数来提高曝光纬度,提出了一种EL感知SMO (ELASMO)方法。与传统的SMO相比,在保证成像保真度的前提下,本文提出的ELASMO可以显著提高航空图像对比度,并将曝光纬度从5%扩大到11%。ELASMO在更大的工艺窗口中实现高保真光刻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Spectral-domain asymptotics for electromagnetic scattering from a point-source excitation target coated with a uniaxial electric anisotropic medium based on physical optics Speckle noise suppression of digital holographic microscopy with diffusion glass rotation Infrared multispectral imaging system based on metasurfaces for two infrared atmospheric windows Thermal behavior of superwetting alumina coated on copper mesh during laser cladding for enhanced oil/water separation Large-range piston error detection technology based on dispersed fringe sensor
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1