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
1-1 of 1
Xiaoyong Liu
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
ISTFA2006, ISTFA 2006: Conference Proceedings from the 32nd International Symposium for Testing and Failure Analysis, 13-19, November 12–16, 2006,
Abstract
View Paper
PDF
We describe the use of magnetic tunnel junction (MTJ) sensors for the purposes of magnetic current imaging. First, a case study shows how magnetic and current density images generated using an MTJ sensor probe were used to isolate the root cause of failure in a newly-designed ASIC. We then give a brief introduction to the operation and construction of MTJ sensors. Finally, a full comparison is made between the three types of sensors which have been used for magnetic current imaging: giant magnetoresistive (GMR) sensors, superconducting quantum interference devices (SQUIDs), and magnetic tunnel junctions. These three technologies are quantitatively compared on the basis of spatial resolution, sensitivity, and geometry.