FlexibleBaTiO<sub>3</sub> Ferroelectric NonvolatileMemory 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.

Publication Details

Journal
Figshare
Published
2025-03-11
DOI
https://doi.org/10.1021/acsami.4c21545.s001
Primary Topic
Advanced Memory and Neural Computing
Type
article
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FlexibleBaTiO3 Ferroelectric NonvolatileMemory for Neuromorphic Computation

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Advanced Memory and Neural Computing
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FlexibleBaTiO3 Ferroelectric NonvolatileMemory for Neuromorphic Computation

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Abstract

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.

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Advanced Memory and Neural Computing
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