Recess metrology challenges for 3D device architectures in advanced technology nodes

计量学 堆栈(抽象数据类型) 薄脆饼 材料科学 蚀刻(微加工) 平版印刷术 电子工程 纳米技术 计算机科学 光电子学 图层(电子) 工程类 光学 物理 程序设计语言
作者
Gaetano Santoro,Kevin Houchens,Janusz Bogdanowicz,Moshe Elizov,Lior Yaron,Michael Chemama,Alex Goldenshtein,Amit Zakay,Noam Amit,Basoene Briggs,Antoine Pacco,Romain Delhougne,Andrew Cockburn,Yaniv Abramovitz,Aviram Tam,Ofer Adan,Hans Mertens,Anne-Laure Charley,Naoto Horiguchi,Philippe Leray
出处
期刊: 卷期号:: 36-36 被引量:2
标识
DOI:10.1117/12.2613771
摘要

The introduction of new three-dimensional (3D) architectures in future logic and memory devices present new challenges for process metrology and control. Where there is a need to recess only one material type out of a superlattice (SL) layer stack, such structures all have in common the fact that the recess is hidden in the stack. Currently, process control in this field heavily relies on expensive, slow, and destructive metrology such as Transmission Electron Microscopy (TEM). In this work, we use the high voltage Scanning Electron Microscope (SEM) technique in combination with the Elluminator® improved Back-Scattered electrons (BSE) technology for better imaging efficiency to demonstrate the ability to measure cavity recess from top-down SEM images. We present case studies both in logic and memory domains. In Horizontal Gate-All-Around (H-GAA) Nanosheet and Forksheet logic devices, the SiGe layer is recessed in a Si/SiGe SL stack. In 3-Dimensional memory devices, we present results on Poly-Si recess metrology in Poly-Si/SiO2 SL stack, Molybdenum (Mo) recess metrology in a Mo/aSi SL stack, and TiN recess metrology in a 3DSCM stack used for memory word line. For the evaluation of the proposed recess metrology technique, several wafers with modulated recess amounts were measured using SEM technology at several high voltage landing energies (LE). BSE signal and advanced image analysis algorithms were used to build a prediction model and quantify the recessed amounts using an edge-based analysis. TEM metrology was used to validate the measurement based on the top-down high LE SEM images. We demonstrate that by using high voltage LE, in combination with enhanced BSE efficiency and advanced image analysis algorithms, we can investigate hidden layers in the stack, identify the recessed material edge, and measure accurately the cavities of interest, thus ultimately providing an inline, non-destructive, and statistically representative metrology solution for such advanced technology nodes. This new application will help chip manufacturers to characterize their processes faster and provide an HVM monitoring and control solution.
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
luo完成签到,获得积分10
3秒前
wanci应助滴滴采纳,获得10
5秒前
Lars1999应助科研通管家采纳,获得10
6秒前
bkagyin应助科研通管家采纳,获得10
6秒前
orixero应助科研通管家采纳,获得10
6秒前
Jasper应助科研通管家采纳,获得10
6秒前
ding应助科研通管家采纳,获得10
6秒前
7秒前
7秒前
思源应助科研通管家采纳,获得10
7秒前
大个应助科研通管家采纳,获得10
7秒前
CipherSage应助惠1采纳,获得10
7秒前
7秒前
yuji完成签到 ,获得积分10
7秒前
haoran完成签到,获得积分10
8秒前
在水一方应助科研通管家采纳,获得10
8秒前
丘比特应助科研通管家采纳,获得10
8秒前
852应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
aajhajkahna应助科研通管家采纳,获得10
8秒前
8秒前
鸟菇子完成签到,获得积分10
8秒前
深情安青应助科研通管家采纳,获得10
8秒前
童谣发布了新的文献求助10
9秒前
彭于晏应助李颖采纳,获得10
10秒前
Ava应助满意的灵枫采纳,获得10
12秒前
CodeCraft应助卷发麦麦采纳,获得10
13秒前
13秒前
joinn完成签到,获得积分10
13秒前
14秒前
栗子发布了新的文献求助10
14秒前
huhu完成签到,获得积分20
15秒前
筱喜完成签到,获得积分20
15秒前
16秒前
单纯的若菱完成签到,获得积分20
16秒前
direstyles完成签到,获得积分10
16秒前
17秒前
英勇思山完成签到,获得积分20
17秒前
眯眯眼的乐曲完成签到,获得积分10
18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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Positive Obsession: The Life and Times of Octavia E. Butler 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7698368
求助须知:如何正确求助?哪些是违规求助? 9258096
关于积分的说明 20012030
捐赠科研通 7273416
什么是DOI,文献DOI怎么找? 3293303
关于科研通互助平台的介绍 2448732
邀请新用户注册赠送积分活动 2299348