Characterization and failure analysis of TSV interconnects: From non-destructive defect localization to material analysis with nanometer resolution

In this paper different methods and novel tools for nondestructive failure localization and high resolution material analysis in 3D integrated devices will be discussed. The employed methodologies combine non-destructive fault localization with efficient and accurate target preparation to gain access for the following microstructure analysis, forming a subsequent failure analysis workflow. The concepts presented here involve the application of improved Lock-In Thermography (LIT) as well as different innovative concepts of high rate Focused Ion Beam (FIB) techniques and high resolution material characterization utilizing Electron Backscatter Diffraction (EBSD) and Transmission Electron Microscopy (TEM) with Nanospot Energy Dispersive X-ray Spectroscopy (EDS). In the first part of the paper the potential and the advantages of each of the techniques will be demonstrated with respect to their application for Through Silicon Via (TSV) technologies by means of different case studies. To illustrate the complete workflow of the approach, a failure analysis of a vertically integrated microsystem using a micro-bump technology is described in the second part.

Authors

Institutions

Publication Details

Journal
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V
Published
2025-05-23
DOI
https://doi.org/10.24406/publica-r-373146
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization and failure analysis of TSV interconnects: From non-destructive defect localization to material analysis with nanometer resolution

Michael Krause, D. Temple, Frank Altmann, Christian Schmidt et al.
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V
Integrated Circuits and Semiconductor Failure Analysis
article

Characterization and failure analysis of TSV interconnects: From non-destructive defect localization to material analysis with nanometer resolution

Michael Krause, D. Temple, Frank Altmann, Christian Schmidt, Matthias Petzold
article en

Abstract

In this paper different methods and novel tools for nondestructive failure localization and high resolution material analysis in 3D integrated devices will be discussed. The employed methodologies combine non-destructive fault localization with efficient and accurate target preparation to gain access for the following microstructure analysis, forming a subsequent failure analysis workflow. The concepts presented here involve the application of improved Lock-In Thermography (LIT) as well as different innovative concepts of high rate Focused Ion Beam (FIB) techniques and high resolution material characterization utilizing Electron Backscatter Diffraction (EBSD) and Transmission Electron Microscopy (TEM) with Nanospot Energy Dispersive X-ray Spectroscopy (EDS). In the first part of the paper the potential and the advantages of each of the techniques will be demonstrated with respect to their application for Through Silicon Via (TSV) technologies by means of different case studies. To illustrate the complete workflow of the approach, a failure analysis of a vertically integrated microsystem using a micro-bump technology is described in the second part.

Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V
Fraunhofer Institute for Mechanics of Materials (DE)
Openalex Percentile: Top 100%
Integrated Circuits and Semiconductor Failure Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.