A novel formulated developer and materials development for CAR-NTD to improve chemical stochastic

极紫外光刻 抵抗 平版印刷术 极端紫外线 随机过程 随机建模 计算机科学 材料科学 纳米技术 光刻 工艺工程 光学 物理 工程类 光电子学 数学 统计 激光器 图层(电子)
作者
Keiyu Ou,Naohiro Tango,Toru Fujimori
标识
DOI:10.1117/12.2687409
摘要

In 2019, finally, extreme ultraviolet (EUV) lithography has been applied to high volume manufacturing (HVM). However, the performance of EUV resist materials are still not enough for the expected HVM requirements, even by using the latest qualifying EUV resist materials. The critical issue is the stochastic issues, which will be become defectivity. The analyzing summary of the stochastic factors in EUV lithography was classified, which described 2 (two) major stochastic issues, which are Photon stochastic and Chemical stochastic. In the past, speaking of the stochastic issue was basically considered from low photon number from EUV light source, which means photon shot noise. It was still critical concerning point, even with recent progress on source power improvement. However, the stochastic issue is not only from them but also from EUV materials and processes, called Chemical stochastic. The Chemical stochastic means caused from resist materials and processes for lithography, materials uniformity in the film, reactive uniformity in the film, and dissolving behavior with the developer. From a material point of view, chemically amplified resist (CAR) has still high potential for high volume manufacturing. Therefore, we have been studying to improve CAR performance for next generation node. In this paper, we will focus on Chemical stochastic improvement, like materials location uniformity and dissolving behavior improvement by using negative-tone development (NTD, using organic solvent-based developer). CAR-NTD had a potential for improving Chemical stochastic because of their properties, which were low swelling and smooth dissolving behavior. However, the pattern collapse was easily observed for preparing fine patterns with the standard developer. Newly proposed novel formulated organic solvent-based developer will be expected to improve the pattern collapse issue and Chemical stochastic. Lithographic performance will also be reported and discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ldy完成签到,获得积分10
刚刚
1秒前
1秒前
甜甜圈发布了新的文献求助10
1秒前
2秒前
zjj发布了新的文献求助10
2秒前
黄姗姗发布了新的文献求助10
2秒前
妖哥完成签到,获得积分10
2秒前
3秒前
英姑应助wmsyth采纳,获得10
3秒前
JIANHUAN完成签到,获得积分10
3秒前
王耀武完成签到,获得积分10
3秒前
garbage发布了新的文献求助10
3秒前
精明梦柏完成签到,获得积分10
4秒前
英俊的铭应助哥就爱讲话采纳,获得10
4秒前
666完成签到,获得积分10
4秒前
七七发布了新的文献求助10
4秒前
5秒前
fmmuxiaoqiang发布了新的文献求助10
5秒前
yulk发布了新的文献求助10
5秒前
wang发布了新的文献求助10
5秒前
6秒前
7秒前
7秒前
7秒前
7秒前
默成应助mm采纳,获得10
7秒前
天天快乐应助小邝少吃点采纳,获得10
7秒前
上官若男应助mm采纳,获得10
7秒前
努力科研完成签到,获得积分10
7秒前
cc关注了科研通微信公众号
7秒前
默成应助mm采纳,获得10
7秒前
king48615发布了新的文献求助20
7秒前
8秒前
终陌发布了新的文献求助10
8秒前
头秃的SCY发布了新的文献求助10
8秒前
秋骊发布了新的文献求助10
9秒前
9秒前
揭谛完成签到,获得积分10
10秒前
weqhdgjfk完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764678
求助须知:如何正确求助?哪些是违规求助? 9308871
关于积分的说明 20308524
捐赠科研通 7349418
什么是DOI,文献DOI怎么找? 3314484
关于科研通互助平台的介绍 2463966
邀请新用户注册赠送积分活动 2328738