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An Early Detection Circuit for Endurance Enhancement of Backfilled Contact Resistive Random Access Memory Array
Yun-Feng Kao1, Jiaw-Ren Shih1, Chrong Jung Lin1
1Microelectronics Laboratory, Institute of Electronics Engineering, National Tsing Hua University, Hsinchu, 300, Taiwan.
Nanoscale Research Letters
|July 5, 2021
Summary
Resistive random access memory (RRAM) cyclability is crucial for its use in advanced electronics. This study links noise and filament properties to RRAM failure, offering solutions to extend device lifetime beyond 10,000 cycles.
Area of Science:
- Materials Science
- Electrical Engineering
- Solid-State Electronics
Background:
- Resistive random access memory (RRAM) is a promising embedded non-volatile storage technology for advanced CMOS modules.
- The practical application of RRAM is significantly limited by its endurance and cyclability.
Purpose of the Study:
- To investigate the relationship between noise characteristics, filament configurations, and reset failure in RRAM during cycling.
- To develop methods for improving RRAM cyclability and overall array endurance.
Main Methods:
- Detailed analysis of noise types and filament configurations in RRAM devices.
- Cycling tests to evaluate RRAM performance and identify failure mechanisms.
- Development and testing of a recovery treatment for RRAM cyclability.
- Proposal of an early detection circuit for vulnerable RRAM cells.
Main Results:
- Established clear links between specific noise types, filament structures, and the occurrence of reset failure.
- Demonstrated a recovery treatment that effectively restores RRAM cyclability.
- Proposed an early detection circuit capable of identifying vulnerable cells within an RRAM array.
- Achieved RRAM array lifetimes exceeding 10,000 cycles without fail bits.
Conclusions:
- Understanding the interplay of noise and filament properties is key to mitigating RRAM reset failures.
- A novel recovery treatment and an early detection circuit significantly enhance RRAM endurance and reliability.
- RRAM technology shows potential for extended operational lifetimes, crucial for next-generation embedded storage solutions.

