Improved Uniformity and Endurance of Ag-Based Volatile Memristors via Annealing Engineering
This paper presents an annealing-based method to improve volatile memristor performance. After annealing at 400°C for 30s in an N<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ambient, uniform threshold switching (TS) behavior was achieved, along with excellent endurance (>10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup>) and high selectivity (>10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sup>). The results indicate that annealing improves endurance and uniformity by preventing excessive Ag accumulation and reducing scattering effects in HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>. This study demonstrates that annealing is an effective approach to enhancing volatile memristor performance.
Authors
- Jinfeng Kang (ORCID: https://orcid.org/0000-0002-6286-0423)
- Yulin Feng (ORCID: https://orcid.org/0000-0002-1204-8795)
- Yading Yi (ORCID: https://orcid.org/0009-0005-9222-1955)
- Shiyue Song (ORCID: https://orcid.org/0000-0002-7375-639X)
- Peng Huang (ORCID: https://orcid.org/0000-0003-3280-0099)
- Dijiang Sun
- Lifeng Liu (ORCID: https://orcid.org/0000-0002-0187-9243)
- Xujin Song (ORCID: https://orcid.org/0009-0006-1037-1851)
- Zhuohua Tang (ORCID: https://orcid.org/0000-0002-4785-6493)
- Zheng Zhou (ORCID: https://orcid.org/0009-0001-3981-6328)
- Shangze Li (ORCID: https://orcid.org/0009-0000-7938-9052)
Institutions
- Peking University (CN)
- Beijing Information Science & Technology University (CN)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/snw65111.2025.11097223
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project