Controlled filament stability in SrTiO3 memristors via swift Xe ion irradiation
Due to uncontrolled conductive filament (CF) formation and rupture during operation, CF randomness in SrTiO3-based memristors severely limits their stability and retention. To address this challenge, we employ swift heavy ion (SHI) irradiation—516 MeV Xe ions—on Pt/SrTiO3/Nb:SrTiO3 devices, introducing controlled ion track defects that guide filament formation. The irradiated memristors demonstrate remarkable performance improvements, achieving a lower SET voltage of 0.65 V (compared to 0.85 V for unirradiated devices), extended retention (>106 s vs <105 s), and superior stability (σ/μ = 0.06/0.06 vs 0.14/0.04). Moreover, these devices reliably emulate synaptic plasticity with minimal cycle-to-cycle variations (<7.2%), enabling high-fidelity neuromorphic applications. When deployed in simulated neural networks for handwritten digit recognition, the irradiated memristors attain a recognition accuracy of 91.6%, showcasing their robustness in real-time computing tasks. These results highlight SHI irradiation as an effective strategy to engineer defect-guided pathways in oxide memristors, advancing their applicability in stable, high-performance neuromorphic systems.
Authors
- Ruo-Wei Wang (ORCID: https://orcid.org/0009-0009-6118-2948)
- Ming-Hui Xu (ORCID: https://orcid.org/0009-0004-8395-886X)
- Jie Su (ORCID: https://orcid.org/0000-0001-7063-3100)
- Jin-Hua Zhao (ORCID: https://orcid.org/0000-0003-3186-1543)
- Pengshun Shan (ORCID: https://orcid.org/0009-0001-9665-6658)
- Weimao Kong (ORCID: https://orcid.org/0000-0002-2622-6839)
- Tao Liu (ORCID: https://orcid.org/0009-0006-8612-7695)
- Yong Liu
Institutions
- Qingdao University (CN)
- Qingdao University of Science and Technology (CN)
- Key Laboratory of Nuclear Radiation and Nuclear Energy Technology (CN)
- Shandong Jianzhu University (CN)
Publication Details
- Journal
- Applied Physics Letters
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1063/5.0276146
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.92
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- National Laboratory of Solid State Microstructures, Nanjing University