Flexible BaTiO <sub>3</sub> Ferroelectric Nonvolatile Memory for Neuromorphic Computation
The use of BaTiO<sub>3</sub> (BTO) ferroelectric thin films in flexible ferroelectric memory offers a promising pathway for next-generation nonvolatile memory applications, given BTO's excellent ferroelectric properties, stability, high dielectric constant, and strong fatigue resistance. However, the fabrication of BTO on flexible substrates presents a significant technical challenge. In this study, we achieved high-quality, single-crystalline (111)-oriented BTO films on mica substrates through the design of buffer layers. The BTO films exhibit strong polarization properties (remnant polarization, 2<i>P</i><sub>r</sub> ∼15.63 μC/cm<sup>2</sup>, and saturation polarization, 2<i>P</i><sub>s</sub> ∼36.61 μC/cm<sup>2</sup>), and the flexible BTO devices maintained exceptional stability under bending radii of 3.5 and 6 mm. After 10<sup>7</sup> bipolar switching cycles, polarization showed only minor changes, with a retention time exceeding 10<sup>4</sup> s. We further explored the application of flexible BTO ferroelectric memory in neuromorphic computing. The flexible BTO-based memory demonstrated adjustable synaptic behavior, effectively modulating EPSC (excitatory postsynaptic current) responses through pulse amplitude and width to simulate short-term memory. PPF (paired pulse facilitation) and LTP (long-term potentiation) behaviors verified its synaptic weight modulation capabilities, achieving 91.6% accuracy in neural network-based handwritten digit recognition after 10<sup>3</sup> training cycles. These findings underscore the potential of flexible BTO ferroelectric memory for memory devices and neuromorphic computing, offering promising applications for wearable AI systems.
Authors
- Xingpeng Liu (ORCID: https://orcid.org/0000-0003-4177-0389)
- Yan Cheng (ORCID: https://orcid.org/0000-0002-0067-2646)
- Yiming Peng (ORCID: https://orcid.org/0000-0003-1007-177X)
- Fabi Zhang (ORCID: https://orcid.org/0000-0002-4896-6854)
- Guojian Luo
- Tangyou Sun (ORCID: https://orcid.org/0000-0002-9971-3793)
- Haiou Li (ORCID: https://orcid.org/0000-0001-8528-0635)
Institutions
- Advanced Materials and Devices (United States) (US)
- Institute of Navigation (US)
- Guilin University of Electronic Technology (CN)
- East China Normal University (CN)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1021/acsami.4c21545
- Citations
- 10
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 7.30