4.7 Article

Artificial synapse characteristics of a ZnO-based memristor with a short-term memory effect

期刊

APPLIED SURFACE SCIENCE
卷 579, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.apsusc.2021.152164

关键词

Neuromorphic system; ZnO; Short-term memory; Memristor

资金

  1. National R&D Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2020M3F3A2A01082593, 2021R1C1C1004422]

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The study explored the creation of a Ni/ZnO/TiN memristor device for emulating an artificial synapse in a neuromorphic system, characterized through various chemical and material analysis methods. The device exhibited multi-level resistive switching behavior, showcasing both short-term and long-term memory characteristics. Different parameters, such as voltage and time interval, were found to impact the conductance of the device during repetitive pulses.
We fabricated and characterized a Ni/ZnO/TiN memristor device designed to emulate an artificial synapse for use in a neuromorphic system. Chemical and material characterization was conducted using ultraviolet photoelectron spectroscopy, energy-dispersive X-ray spectroscopy, and transmission electron microscopy. The device exhibited gradual resistive switching as a multi-level cell with an increase in the DC sweep voltage. Current decay was observed after the set process, indicating that it could feasibly be employed in short-term memory applications. We demonstrated both short-term memory and long-term memory behavior in the proposed device. Higher conductance was maintained via repetitive pulses with a high voltage and a short time interval, while conductance was lower when repetitive pulses with a low voltage and a short time interval were employed. Pulse interval-dependent paired-pulse facilitation characteristics were used to mimic an artificial synapse, with potentiation and depression observed over multiple cycles. We also evaluated the pattern-recognition accuracy of the proposed conductance modulation with degradation based on the short-term memory effect using a 784 x 10 cross-point array netlist and a SPICE resistor model.

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