Sustainable Perovskite Multiferroic Materials for Memristive Memory and Neuromorphic Computing Devices
Year: 2025
Type: article
Abstract: Perovskite multiferroic materials, characterised by their unique coupling of ferroelectricity, magnetism, and additional functionalities, have emerged as promising candidates for next-generation electronic devices. Their potential is particularly significant in memristive memory and neuromorphic computing, where energy efficiency, multifunctionality, and compactness are critical. This abstract explores the role of perovskite multiferroics in enabling sustainable, high-performance memory and computing devices. Emphasis is placed on materials like BiFeO3 and lead-free alternatives, demonstrating robust ferroelectric and magnetoelectric properties. Key topics include the mechanisms underpinning memristive behaviour, the integration of multiferroics in artificial synapses for neuromorphic computing, and sustainable fabrication techniques. Challenges such as scalability, thermal stability, and environmental impact are addressed, focusing on strategies for overcoming these hurdles. By leveraging sustainable synthesis methods and innovative device architectures, perovskite multiferroics present a transformative path toward eco-friendly, efficient, and multifunctional technologies for the future of electronics.
Author: Vagish Kumar Jha
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410259377