Year: 2025
Type: article
Abstract: As an emerging nonlinear device, the piezoelectric memristor demonstrates significant potential in neuromorphic hardware and adaptive systems due to its unique electromechanical coupling and memory properties. However, its design and fabrication remain highly challenging, placing stringent demands on material selection and micro-nano processing techniques. Moreover, experimental studies based on physical devices are often costly, time-consuming, and inefficient for rapidly validating circuit-level application concepts.This paper proposes a novel circuit-based modeling approach that leverages the high sensitivity of piezoelectric sensors to mechanical stimuli, efficiently converting ambient mechanical energy into electrical signals. By integrating a Microcontroller Unit (MCU) with robust computational and real-time control capabilities, the circuit parameters can be dynamically adjusted to achieve precise modulation of memristance. This modeling strategy significantly reduces reliance on complex physical fabrication processes and offers researchers an efficient and low-cost platform for design and validation.
Source: IEICE Electronics Express
Authors: Ciyan Zheng, Minzhe Wu, Qichao Zhou, Huanyang Li
Institution: Guangdong Polytechnic Normal University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7103886719