Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- EISBN
- Issue
- ISSN
- EISSN
- Volume
- References
NARROW
Format
Subjects
Article Type
Volume Subject Area
Date
Availability
1-3 of 3
Aaron Sinnott
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Proceedings Papers
ISTFA2024, ISTFA 2024: Conference Proceedings from the 50th International Symposium for Testing and Failure Analysis, 288-291, October 28–November 1, 2024,
Abstract
View Papertitled, Wafer Level Monitoring of Optical Insertion Loss during Silicon Photonics Manufacturing
View
PDF
for content titled, Wafer Level Monitoring of Optical Insertion Loss during Silicon Photonics Manufacturing
Silicon photonics has emerged as a key solution for on-chip communication to improve computational systems especially for AI workloads. Testing of such photonic integrated circuits (PICs) is key to deliver known good dies to be co-packaged with the compute IC. The recent availability of commercial photonic testers has allowed for monitoring most optical components at wafer level using vertical grating couplers. However, the measurement of optical insertion loss prior to fiber attach of edge-coupled spot size converters remains one of the significant challenges. In this article we demonstrate the use of a novel system for wafer–level optical edge-coupling insertion loss measurement. This method proved to be effective in capturing manufacturing process issues impacting insertion loss with a relatively fast turnaround time compared to fiber attach.
Proceedings Papers
ISTFA2023, ISTFA 2023: Conference Proceedings from the 49th International Symposium for Testing and Failure Analysis, 160-163, November 12–16, 2023,
Abstract
View Papertitled, Logical to Physical SRAM Bitmap Verification with Fault Localization
View
PDF
for content titled, Logical to Physical SRAM Bitmap Verification with Fault Localization
Physical Failure Analysis (PFA) is essential for SRAM yield learning, especially in new technologies or FAB transfers. For this to be successful, physical coordinates for tested bitcell failures must be accurately calculated and verified. The timeline for this process can vary dramatically based on the extent and complexity of any issues. This paper details the successful use of fault localization on isolated, voltage sensitive failures to achieve confidence in verification of physical location prior to PFA.
Proceedings Papers
ISTFA2018, ISTFA 2018: Conference Proceedings from the 44th International Symposium for Testing and Failure Analysis, 300-302, October 28–November 1, 2018,
Abstract
View Papertitled, Sub-20nm Device Voltage-Sensitive SRAM Characterization and Failure Analysis
View
PDF
for content titled, Sub-20nm Device Voltage-Sensitive SRAM Characterization and Failure Analysis
With rapid scaling of semiconductor devices, new and more complicated challenges emerge as technology development progresses. In SRAM yield learning vehicles, it is becoming increasingly difficult to differentiate the voltage-sensitive SRAM yield loss from the expected hard bit-cells failures. It can only be accomplished by extensively leveraging yield, layout analysis and fault localization in sub-micron devices. In this paper, we describe the successful debugging of the yield gap observed between the High Density and the High Performance bit-cells. The SRAM yield loss is observed to be strongly modulated by different active sizing between two pull up (PU) bit-cells. Failure analysis focused at the weak point vicinity successfully identified abnormal poly edge profile with systematic High k Dielectric shorts. Tight active space on High Density cells led to limitation of complete trench gap-fill creating void filled with gate material. Thanks to this knowledge, the process was optimized with “Skip Active Atomic Level Oxide Deposition” step improving trench gap-fill margin.