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

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

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.

Originalspråkengelska
Artikelnummer101124
TidskriftAPL Materials
Volym11
Nummer10
DOI
StatusPublished - 2023 okt.

Ämnesklassifikation (UKÄ)

  • Annan elektroteknik och elektronik

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