Investigation on Temperature-Dependent Resistance States of 40nm MLC-RRAM Macro
Resistive Random-Access Memory (RRAM) is notable for its multi-level cell (MLC) capabilities, not only boosting the storage density but also enhancing efficiency in computing-in-memory (CIM) architectures. However, its conductance is highly susceptible to temperature fluctuations, challenging practical deployment. Here, we characterize the temperature-dependent resistance states of 40nm RRAM macro, indicating that conductance states have different relations with the temperature. Considering the Poole-Frenkel emission and nanowire transport, a physics model is developed to describe the resistance varying with temperature. Further, we propose the calibration method to reduce the readout and Matrix-Vector Multiplication (MVM) computation errors (5x to 25x), which is crucial for RRAM-based storage and CIM.
Authors
- Shichao Zhong (ORCID: https://orcid.org/0000-0003-1969-4551)
- Lei Sun (ORCID: https://orcid.org/0000-0002-7410-7375)
- Linbo Shan
- Lifeng Liu (ORCID: https://orcid.org/0000-0003-2732-7399)
- Peng Huang (ORCID: https://orcid.org/0000-0002-9576-3355)
- Yulin Feng (ORCID: https://orcid.org/0000-0003-3094-7222)
- Jinfeng Kang
- Hongming Guan (ORCID: https://orcid.org/0000-0002-1466-4305)
- Yimao Cai (ORCID: https://orcid.org/0000-0003-2961-9176)
- Zongwei Wang (ORCID: https://orcid.org/0000-0002-1215-2912)
- K. Tao
Institutions
- Peking University (CN)
- Beijing Information Science & Technology University (CN)
Publication Details
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1109/irps48204.2025.10983332
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46