Online Fault Detection and Diagnosis in RRAM
Author:
Affiliation:
1. Delft University of Technology,Computer Engineering Department,Delft,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10173930/10173940/10174113.pdf?arnumber=10174113
Reference27 articles.
1. Accelerating RRAM Testing with a Low-cost Computation-in-Memory based DFT
2. Evolution of the conductive filament system in HfO2-based memristors observed by direct atomic-scale imaging
3. The Role of Ti Capping Layer in HfOx-Based RRAM Devices
4. Validating a DFT Strategy’s Detection Capability regarding Emerging Faults in RRAMs;copetti;2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC),2021
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1. A synergistic fault tolerance framework for Mbit 28nm embedded RRAM;2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS);2024-07-03
2. Lifecycle Management of Emerging Memories;2024 IEEE European Test Symposium (ETS);2024-05-20
3. Online Detection of Unique Faults in RRAMs;2024 IEEE European Test Symposium (ETS);2024-05-20
4. A DfT Strategy for Guaranteeing ReRAM’s Quality after Manufacturing;Journal of Electronic Testing;2024-03-23
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