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Flexible BaTiO <sub>3</sub> Ferroelectric Nonvolatile Memory for Neuromorphic Computation

Yiming Peng, Yiming Peng, Xingpeng Liu, Guojian Luo, Fabi Zhang, Tangyou Sun, Haiou Li, Yan Cheng, Ying Peng, Ying Peng

2025ACS Applied Materials & Interfaces11 citationsDOIOpen Access PDF

Abstract

The use of BaTiO 3 (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 P r ∼15.63 μC/cm 2, and saturation polarization, 2 P s ∼36.61 μC/cm 2 ), and the flexible BTO devices maintained exceptional stability under bending radii of 3.5 and 6 mm. After 10 7 bipolar switching cycles, polarization showed only minor changes, with a retention time exceeding 10 4 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 3 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.

Topics & Concepts

Neuromorphic engineeringMaterials scienceFerroelectricityNon-volatile memoryComputationNanotechnologyOptoelectronicsDielectricComputer scienceArtificial neural networkArtificial intelligenceAlgorithmAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesFerroelectric and Piezoelectric Materials
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