Exploring the Conductive Dynamics of Sb<sub>2</sub>(S,Se)<sub>3</sub>-Based Memristors for Non-Volatile Memory and Neuromorphic Applications
Advancing the development of novel materials or architectures for random access memories, coupled with an in-depth understanding of their intrinsic conduction mechanisms, holds the potential to transcend the conventional von Neumann bottleneck. In this work, a novel memristor based on the Sb<sub>2</sub>(S,Se)<sub>3</sub> material with an alloy of S and Se was fabricated. A systematic investigation of the correlation between the Se/(S + Se) ratio and memristive performance revealed that Ag/Sb<sub>2</sub>(S,Se)<sub>3</sub>/FTO memristive behavior is uniquely associated with the formation and disruption of anion vacancies and silver filaments. The resultant Ag/Sb<sub>2</sub>(S,Se)<sub>3</sub>/FTO memristor devices demonstrated good resistive switching, with durability surpassing 3 × 10<sup>4</sup> cycles, showcasing multilevel conductivity states. Furthermore, these devices successfully emulated the synaptic functionality. This research has established the foundation for the intrinsic conduction mechanisms of antimony chalcogenide memristor artificial synapses.
Authors
- Hongling Guo (ORCID: https://orcid.org/0000-0002-6210-3481)
- Fang Wang (ORCID: https://orcid.org/0000-0002-5766-425X)
- Kailiang Zhang (ORCID: https://orcid.org/0000-0001-5593-7480)
- Yuchan Wang (ORCID: https://orcid.org/0000-0001-8631-3662)
- Xiaolei Li (ORCID: https://orcid.org/0009-0001-8789-3563)
- Yang Yang (ORCID: https://orcid.org/0000-0002-3842-4744)
- Lin Feng (ORCID: https://orcid.org/0000-0003-0951-713X)
- Lei Zheng (ORCID: https://orcid.org/0000-0002-5601-3527)
- Shifu Xiong (ORCID: https://orcid.org/0009-0006-4626-9250)
- Yuanjie Yang
Institutions
- Tianjin University of Technology (CN)
Publication Details
- Journal
- The Journal of Physical Chemistry Letters
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1021/acs.jpclett.4c03367
- Citations
- 7
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Tianjin City
- National Key Research and Development Program of China
- Tianjin Science and Technology Program