Multi-Level RTN with Certain Regularities in Oxide-RRAM: Experiments, Defect Dynamics and 3D Multi-Physics Modeling
The random telegraph noise (RTN) of oxide-based resistive random-access memory (RRAM) represents rich underlying physics and defect dynamics. This paper investigated the multi-level RTN phenomena with certain regularities in the Ti/HfOx/TiN RRAM. The investigation is based on the comprehensive measurements and careful modeling of the multi-phonon trap-assisted tunneling (MPTAT) through a developed RRAM simulator, assisted by First-Principle calculations of oxygen vacancy (Vo) states. It is found that the participation of the polaron band of Vo is the main reason to produce the RTN of RRAM, and the observed two-level RTN is attributed to the transition of Vo between V0 and V1-, and can be utilized to locate defects. The multi-level RTN arises from the collective action of Vo at different positions in the conductive filament (CF) gap, which can distinctly affect the current fluctuation (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Delta\mathrm{I}$</tex>), capture time (τc), and emission time (τe),
Authors
- Xiangshui Miao
- Kan‐Hao Xue (ORCID: https://orcid.org/0000-0002-2894-7912)
- Zhigang Ji (ORCID: https://orcid.org/0000-0003-1138-804X)
- Jian Zhang (ORCID: https://orcid.org/0000-0001-7584-3799)
- Xingsheng Wang (ORCID: https://orcid.org/0000-0003-4648-4525)
- Zijian Zhou (ORCID: https://orcid.org/0000-0001-7401-7612)
- Pan Liu
- Zifei Cai (ORCID: https://orcid.org/0009-0007-1606-7428)
- Dejiang Mu (ORCID: https://orcid.org/0009-0009-3400-4839)
Institutions
- Shanghai Jiao Tong University (CN)
- Wuhan National Laboratory for Optoelectronics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1109/irps48204.2025.10983298
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China