Online Fault Detection and Diagnosis in RRAM

Author:

Fieback Moritz1,Bradarić Filip1,Taouil Mottaqiallah1,Hamdioui Said1

Affiliation:

1. Delft University of Technology,Computer Engineering Department,Delft,The Netherlands

Publisher

IEEE

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

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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