Artificial synaptic characteristics of PVA:ZnO nanocomposite memristive devices

Computational efficiency is significantly enhanced using artificial neural network-based computing. A two-terminal memristive device is a powerful electronic device that can mimic the behavior of a biological synapse in addition to storing information and performing logic operations. This work focuses on the fabrication of a memristive device that utilizes a resistive switching layer composed of polyvinyl alcohol infused with ZnO nanoparticles. By incorporating ZnO nanoparticles into the polymer film, the fabricated memristive devices exhibit functionalities that closely resemble those of biological synapses, including short-term and long-term plasticity, paired-pulse facilitation, and spike time-dependent plasticity. These findings establish the ZnO nanoparticle-polymer nanocomposite as a highly promising material for future neuromorphic systems.(c) 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license

Automated summary

Computational efficiency is improved using artificial neural network-based computing. This study focuses on the fabrication of a memristive device with a resistive switching layer that can mimic the behavior of a biological synapse. The incorporation of ZnO nanoparticles into the polymer film allows the fabricated memristive devices to exhibit functionalities closely resembling those of biological synapses.