Analysis of Resistive Switching Performance of ZnO/PVA Bilayer Memristive Device for Neuromorphic Applications

The development and analysis of a resistive switching device with an Ag/PVA/ZnO/ITO architecture for memory applications are examined in this article. Utilizing the complementary advantages of metal oxides and organic polymers, the device incorporates a bilayer of zinc oxide (ZnO) and polyvinyl alcohol (PVA) as the active switching medium to improve device performance. The PVA/ZnO bilayer simulates synaptic activity, with the Ag electrode Configured as the upper electrode while the ITO electrode is the underlying electrode. Bipolar analog resistive switching (ARS), which is typified by slow resistance changes that mimic potentiation and depression in biological synapses, is confirmed by current-voltage (I-V) analysis. Ion migration and the creation and breaking of conductive filaments inside the bilayer are the causes of these characteristics. The results advance our knowledge of the device’s switching mechanisms and synaptic emulation capabilities while highlighting its potential for low-power, scalable neuromorphic systems.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icmoce64100.2025.11076614
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Resistive Switching Performance of ZnO/PVA Bilayer Memristive Device for Neuromorphic Applications

Saurabh Kumar Pandey, Mahesh Mohan, N.L. Simon, Harsh Ranjan
Advanced Memory and Neural Computing
article

Analysis of Resistive Switching Performance of ZnO/PVA Bilayer Memristive Device for Neuromorphic Applications

Saurabh Kumar Pandey, Mahesh Mohan, N.L. Simon, Harsh Ranjan
article en

Abstract

The development and analysis of a resistive switching device with an Ag/PVA/ZnO/ITO architecture for memory applications are examined in this article. Utilizing the complementary advantages of metal oxides and organic polymers, the device incorporates a bilayer of zinc oxide (ZnO) and polyvinyl alcohol (PVA) as the active switching medium to improve device performance. The PVA/ZnO bilayer simulates synaptic activity, with the Ag electrode Configured as the upper electrode while the ITO electrode is the underlying electrode. Bipolar analog resistive switching (ARS), which is typified by slow resistance changes that mimic potentiation and depression in biological synapses, is confirmed by current-voltage (I-V) analysis. Ion migration and the creation and breaking of conductive filaments inside the bilayer are the causes of these characteristics. The results advance our knowledge of the device’s switching mechanisms and synaptic emulation capabilities while highlighting its potential for low-power, scalable neuromorphic systems.

Indian Institute of Technology Patna (IN), Mahatma Gandhi University (IN)
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.