High-Throughput Characterization of Nanoscale Topography for Hybrid Bonding by Optical Interferometry

干涉测量 吞吐量 表征(材料科学) 纳米尺度 材料科学 光电子学 计算机科学 纳米技术 光学 电信 物理 无线
作者
Bongsub Lee,Oliver Zhao,Arianna Avellán,Suhail Sadiq,G. G. Fountain,Dominik Suwito,Guilian Gao,Laura Mirkarimi
标识
DOI:10.1109/ectc51529.2024.00157
摘要

Hybrid bonding requires nanoscale topography control of the surfaces to be bonded. Such topography is conventionally characterized by atomic force microscopy (AFM), which provides high accuracy but very limited throughput. In this study, we present a protocol to analyze the nanoscale metal recess and its wafer-level uniformity by phase shift interferometry (PSI) with a throughput three orders of magnitude greater than typical AFM analysis. Using an automated protocol, we analyzed ~ 10 million Cu pads and constructed a recess uniformity map for a full wafer. It confirmed that our CMP process could control the wafer-level recess variation within a few nm. While PSI has clear advantage in the data throughput, the limitations of PSI should also be considered. PSI has a limited lateral resolution of ~ 0.5 μm compared to its nanoscale z-resolution. The apparent Cu recess measured by PSI from Cu/SiO2 samples is greater than the physical recess by an offset of tens of nm, based on the different phase change on reflection from different areas. This offset value varies with Cu surface oxidation or different thickness of transparent SiO2. If SiO2 is thicker than ~ 2 μm, the structures below the layer do not make significant impact. When the sample configuration and surface conditions are the same over the sample(s) to be analyzed, PSI can efficiently characterize the topography variation of numerous Cu pads on a die, a wafer, or multiple sets of wafers. This technique can be useful in controlling the process conditions to reduce the variation in critical topography parameters and improve hybrid bond yield.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
电介质物理完成签到,获得积分20
1秒前
浮游应助像鱼采纳,获得10
1秒前
迷人的长颈鹿应助vv采纳,获得10
1秒前
Momomo应助vv采纳,获得10
1秒前
Momomo应助vv采纳,获得10
1秒前
宗语雪完成签到,获得积分10
2秒前
3秒前
meituanqishoumi完成签到,获得积分10
3秒前
yyy发布了新的文献求助10
4秒前
5秒前
5秒前
wanci应助栗少海采纳,获得10
6秒前
燕烟完成签到,获得积分10
7秒前
科研通AI2S应助shanage采纳,获得10
7秒前
科研通AI6应助千早爱音采纳,获得10
8秒前
仁爱的伯云完成签到,获得积分10
9秒前
10秒前
sunshine发布了新的文献求助10
11秒前
大眼怪发布了新的文献求助10
11秒前
ruirui_love发布了新的文献求助10
11秒前
量子星尘发布了新的文献求助10
12秒前
12秒前
汉堡包应助燕烟采纳,获得10
13秒前
14秒前
慕青应助Sc1ivez采纳,获得10
14秒前
赘婿应助Sc1ivez采纳,获得10
15秒前
仙林AK47完成签到,获得积分10
17秒前
Tbangl发布了新的文献求助10
18秒前
kittency完成签到 ,获得积分10
18秒前
海拾月完成签到,获得积分10
19秒前
js110完成签到,获得积分10
19秒前
栗少海发布了新的文献求助10
21秒前
21秒前
夜已深完成签到,获得积分10
22秒前
bkagyin应助ruirui_love采纳,获得10
22秒前
CipherSage应助霸气的梦露采纳,获得10
23秒前
张海新完成签到 ,获得积分10
23秒前
海拾月发布了新的文献求助30
23秒前
23秒前
梁帅哥完成签到,获得积分10
23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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1200
List of 1,091 Public Pension Profiles by Region 1021
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5484090
求助须知:如何正确求助?哪些是违规求助? 4584405
关于积分的说明 14397691
捐赠科研通 4514382
什么是DOI,文献DOI怎么找? 2473969
邀请新用户注册赠送积分活动 1459937
关于科研通互助平台的介绍 1433307