4.8 Article

Vertically aligned two-dimensional halide perovskites for reliably operable artificial synapses

Journal

MATERIALS TODAY
Volume 52, Issue -, Pages 19-30

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.mattod.2021.10.035

Keywords

Two-dimensional; Halide perovskites; Memristor; Artificial synapse; Neuromorphic

Funding

  1. Creative, Material Discovery Program through the National Research Foundation of Korea - Ministry of Science and ICT [2016M3D1A1027666, 2017M3D1A1040834, 2018M3D1A1058793]
  2. Basic Science Research Program through the National Research Foundation of Korea - Ministry of Science, ICT & Future Planning [2021R1A2B5B03001851]
  3. Basic Research Laboratory of the NRF - Korean government MSIT [2021R1A4A3027878]
  4. National Research Foundation of Korea - Korea government Ministry of Science and ICT [2021M3H4A1A03057403]
  5. Seoul National University [0417-20200120]
  6. National Research Foundation of Korea [2021M3H4A1A03057403] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Halide perovskites, in the vertically aligned form, demonstrate remarkable improvements in multilevel analog memristive characteristics, plasticity, and classification accuracy, attributed to the vertically well-aligned lead iodide octahedra as the ion transport channel, as confirmed by first-principles calculations.
Halide perovskites, fascinating memristive materials owing to mixed ionic-electronic conductivity, have been attracting great attention as artificial synapses recently. However, polycrystalline nature in thin film form and instability under ambient air hamper them to be implemented in demonstrating reliable neuromorphic devices. Here, we successfully fabricated vertically aligned 2D halide perovskite films (V-HPs) for active layers of artificial synapses, showing moisture stability for several months. Unlike random-oriented HPs, which exhibit negligible current hysteresis, the V-HPs possess multilevel analog memristive characteristics, programmable potentiation and depression with distinguished multi-states, long-short-term plasticity, paired-pulse facilitation, and even spike-timing-dependent plasticity. Furthermore, high classification accuracy is obtained with implementation in deep neural networks. These remarkable improvements are attributed to the vertically well-aligned lead iodide octahedra acting as the ion transport channel, confirmed by first-principles calculations. This study paves the way for understanding HPs nanophysics and demonstrating their potential utility in neuromorphic computing systems.

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