Design and Study of Chaotic Oscillator Circuit Based on Bipolar Photoelectric Memristor with Wen's Bridge

In recent years, memristor technology has been widely used in chaotic circuits due to its nonlinear characteristics. In this study,based on the multisim simulation platform, a bipolar photoelectric memristor is embedded into the chaotic circuit of the Venn diagram bridge oscillator, and the nonlinear dynamics behaviour of the bipolar photoelectric memristor is analysed, as well as its impact on the chaotic phenomenon. The design is tested to produce a new type of chaotic attractor with significant periodicity, and the memristor used in this paper is silicon-based and compatible with CMOS processes, which is expected to be used in optically controlled chaotic cryptographic circuits.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icccas65806.2025.11102511
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Design and Study of Chaotic Oscillator Circuit Based on Bipolar Photoelectric Memristor with Wen's Bridge

Hong Xia, Jingchuan Kuang, Bo Han, Junna Wang et al.
Advanced Memory and Neural Computing
article

Design and Study of Chaotic Oscillator Circuit Based on Bipolar Photoelectric Memristor with Wen's Bridge

Hong Xia, Jingchuan Kuang, Bo Han, Junna Wang, Xiangliang Jin
article en

Abstract

In recent years, memristor technology has been widely used in chaotic circuits due to its nonlinear characteristics. In this study,based on the multisim simulation platform, a bipolar photoelectric memristor is embedded into the chaotic circuit of the Venn diagram bridge oscillator, and the nonlinear dynamics behaviour of the bipolar photoelectric memristor is analysed, as well as its impact on the chaotic phenomenon. The design is tested to produce a new type of chaotic attractor with significant periodicity, and the memristor used in this paper is silicon-based and compatible with CMOS processes, which is expected to be used in optically controlled chaotic cryptographic circuits.

Hunan Normal University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Memory and Neural Computing
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