Journal article
A novel approach for fault detection and failure analysis of CMOS copper metal stacks
- Abstract:
- For the Inner Tracking System 3 (ITS3) upgrade, the ALICE experiment at CERN requires monolithic active pixel sensors of dimensions up to 97 mm×266 mm, occupying a large fraction of a 300 mm wafer. To manufacture such a wafer-scale device, larger than the single design reticle size, stitching is employed. The MOnolithic Stitched Sensor (MOSS) is a prototype silicon pixel sensor of 14 mm×259 mm size with the primary goal of understanding the stitching technique and yield. Given the large size, high yield is paramount for the ITS3 sensors, and an in-depth yield characterization was performed on these MOSS sensors. In a collaborative effort, the foundry adapted the metal stack to the requirements of the project, but recurrent fault signatures were discovered with various frequencies across all 20 wafers tested, and correlated through dedicated measurements and analyses. Following these findings, the foundry implemented a mitigation strategy to avoid the issue in the future. This article does not describe process details but concentrates on the measurements and analysis method.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 19.9MB, Terms of use)
-
- Publisher copy:
- 10.1109/tns.2026.3671605
Authors
- Publisher:
- IEEE
- Journal:
- IEEE Transactions on Nuclear Science More from this journal
- Volume:
- 73
- Issue:
- 4
- Pages:
- 1501-1506
- Publication date:
- 2026-03-06
- Acceptance date:
- 2026-03-04
- DOI:
- EISSN:
-
1558-1578
- ISSN:
-
0018-9499
- Language:
-
English
- Keywords:
- Pubs id:
-
2392795
- Local pid:
-
pubs:2392795
- Source identifiers:
-
W7134114399
- Deposit date:
-
2026-05-26
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2026
- Rights statement:
- © 2026 IEEE. All rights reserved, including rights for text and data mining, and training of artificial intelligence and similar technologies.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record