Engineered high endurance in WO <sub>3</sub> -based resistive switching devices via a guided filament approach
Resistive switching devices are promising candidates for the next generation of nonvolatile memory and neuromorphic computing applications. Despite the advantages in retention and on/off ratio, filamentary-based memristors still suffer from challenges, particularly endurance (flash being a benchmark system showing 10<sup>4</sup> to 10<sup>6</sup> cycles) and uniformity. Here, we use WO<sub>3</sub> as a complementary metal-oxide semiconductor-compatible switching oxide and demonstrate a proof-of-concept materials design approach to enhance endurance and device-to-device uniformity in WO<sub>3</sub>-based memristive devices while preserving other performance metrics. These devices show stable resistive switching behavior with >10<sup>6</sup> cycles, >10<sup>5</sup>-second retention, >10 on/off ratio, and good device-to-device uniformity, without using current compliance. All these metrics are achieved using a one-step pulsed laser deposition process to create self-assembled nanocomposite thin films that have regular guided filaments of ≈100-nanometer pitch, preformed between WO<sub>3</sub> grains and interspersed smaller Ce<sub>2</sub>O<sub>3</sub> grains.
Authors
- Caterina Ducati (ORCID: https://orcid.org/0000-0003-3366-6442)
- Benson Kunhung Tsai
- Zhuotong Sun (ORCID: https://orcid.org/0000-0002-6951-7265)
- Judith L. MacManus‐Driscoll (ORCID: https://orcid.org/0000-0003-4987-6620)
- Xinjuan Li (ORCID: https://orcid.org/0000-0003-3086-9287)
- Abhijeet Choudhury (ORCID: https://orcid.org/0000-0002-8484-6083)
- Simon M. Fairclough (ORCID: https://orcid.org/0000-0003-3781-8212)
- Giulio I. Lampronti (ORCID: https://orcid.org/0000-0002-1430-3446)
- Babak Bakhit (ORCID: https://orcid.org/0000-0002-3083-7536)
- Markus Hellenbrand (ORCID: https://orcid.org/0000-0002-5811-5228)
- Haiyan Wang (ORCID: https://orcid.org/0000-0002-7397-1209)
- Yixuan Liu (ORCID: https://orcid.org/0000-0002-9522-8651)
- Ziyi Yuan (ORCID: https://orcid.org/0000-0002-4854-4926)
Institutions
- Linköping University (SE)
- Purdue University West Lafayette (US)
- University of Cambridge (GB)
- Thinfilm (Sweden) (SE)
Publication Details
- Journal
- Science Advances
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1126/sciadv.adt9789
- Citations
- 11
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 8.03