Artificial synaptic characteristics of PVA:ZnO nanocomposite memristive devices

Renu Kumari, Jnaneswari Gellanki, Somnath S. Kundale, Ruhan E. Ustad, Tukaram D. Dongale, Ying Fu, Håkan Pettersson, Sandeep Kumar

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number101124
JournalAPL Materials
Volume11
Issue number10
DOIs
Publication statusPublished - 2023 Oct

Subject classification (UKÄ)

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

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