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MRAM defect analysis and fault modeling

Authors: Chin-Lung Su; Rei-Fu Huang; Cheng-Wen Wu; Chien-Chung Hung; Ming-Jer Kao; Yeong-Jar Chang; Wen Ching Wu;

MRAM defect analysis and fault modeling

Abstract

With the advent of system-on-chip (SOC), the demand for embedded memory cores increases rapidly. The magnetic random access memory (MRAM) is considered one of the potential candidates that replace current on-chip memories (RAM, EEPROM, and flash memory) in the future. The MRAM has a high speed and does not need high supply voltage for read/write operations, so it has the advantages of RAM and flash memory, making it a potentially good choice for SOC. The testing of MRAM, however, has not been fully investigated. In this work we classify and analyze the MRAM defects and their behavior, and propose its fault models. We have built a SPICE model of MRAM cell and performed defect injection and simulation of a real MRAM circuit. The circuit has been implemented and fabricated with a novel 0.18 m technology. The simulation results regarding the correlation between the defects and conventional fault models show that most of the defects can be covered by the stuck-at fault model. The test data based on the fabricated chips show that the stuck-at faults do cover most of the defects on the chips. However, from the experiment we also have identified two new faults, i.e., the Multi-Victims fault and Kink fault.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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