Thermal Stress and Reliability Analysis of TSV-Based 3-D ICs With a Novel Adaptive Strategy Finite Element Method

有限元法 多边形网格 可靠性(半导体) 计算机科学 压力(语言学) 趋同(经济学) 先验与后验 三维集成电路 集成电路 并行计算 工程类 结构工程 功率(物理) 语言学 物理 哲学 量子力学 计算机图形学(图像) 认识论 经济 经济增长 操作系统
作者
Hao Zhou,Hengliang Zhu,Tao Cui,David Z. Pan,Dian Zhou,Xuan Zeng
出处
期刊:IEEE Transactions on Very Large Scale Integration Systems [Institute of Electrical and Electronics Engineers]
卷期号:26 (7): 1312-1325 被引量:8
标识
DOI:10.1109/tvlsi.2018.2811417
摘要

Thermomechanical stress is one of the most important issues in performance and reliability analysis of through silicon via-based 3-D integrated circuits (3-D ICs), where an accurate numerical approach is generally needed to produce stress models and identify weak points in the structure. In this paper, we propose a knowledge-oriented nonuniform (KONU) refinement strategy for 3-D IC stress simulation under the framework of a parallel adaptive finite element method (FEM), and apply it in 3-D IC stress and reliability analysis. Parallel adaptive FEM is promising for solving large-scale problems due to its high accuracy and parallel efficiency. It produces refined meshes based on the a posteriori error analysis, which has the quasi-optimal convergence rate for solving the problem. It has high parallel efficiency, which makes it suitable for handling large and complex structures in 3-D ICs. The KONU refinement strategy developed in this paper can efficiently reduce the number of refinement iterations in parallel adaptive FEM for 3-D IC thermomechanical stress simulation and improves the computational efficiency. It is demonstrated in this paper through several examples that parallel adaptive FEM for thermomechanical stress evaluation can be widely applied in 3-D IC reliability analysis, where accurate stress simulation and modeling is exceptionally important to produce accurate results.

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
小语丝完成签到,获得积分10
刚刚
刚刚
1秒前
1秒前
1秒前
领导范儿应助zmm采纳,获得30
1秒前
cc应助土土b采纳,获得20
1秒前
七木发布了新的文献求助10
1秒前
2秒前
2秒前
Karry完成签到 ,获得积分10
2秒前
Clarence完成签到,获得积分10
2秒前
3秒前
英吉利25发布了新的文献求助10
3秒前
清脆安南发布了新的文献求助10
3秒前
小宝贝啥也不懂完成签到,获得积分10
4秒前
程程完成签到,获得积分10
4秒前
4秒前
5秒前
2以李完成签到,获得积分10
5秒前
li应助PPPPP55555采纳,获得50
5秒前
lb完成签到,获得积分10
6秒前
花露水发布了新的文献求助10
7秒前
小兔崽子完成签到,获得积分10
7秒前
英俊的铭应助无误采纳,获得10
7秒前
疯丫头完成签到,获得积分20
8秒前
9秒前
10秒前
10秒前
11秒前
所所应助junhua采纳,获得10
13秒前
软猫完成签到,获得积分10
13秒前
14秒前
15秒前
xiaotao发布了新的文献求助10
15秒前
15秒前
枫枫完成签到,获得积分10
15秒前
George Will完成签到 ,获得积分10
16秒前
16秒前
望凌烟完成签到,获得积分10
16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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5684488
求助须知:如何正确求助?哪些是违规求助? 5036727
关于积分的说明 15184287
捐赠科研通 4843754
什么是DOI,文献DOI怎么找? 2596869
邀请新用户注册赠送积分活动 1549511
关于科研通互助平台的介绍 1508027