Mott Memristors for Neuromorphics

• Published in: Advanced Physics Research Vol. 4; no. 4
• Main Authors: Zhao, Zherui, Luan, Wanhong, Zhai, Yongbiao, Lv, Ziyu, Zhang, Meng, Yan, Yan, Xue, Shuangmei, Zhou, Kui, Ding, Guanglong, Han, Su‐Ting, Roy, Vellaisamy A. L., Zhou, Ye
• Format: Journal Article
• Language: English
• Published: Edinburgh John Wiley & Sons, Inc 01.04.2025; Wiley-VCH
• Subjects: artificial neurons; Bandwidths; Behavior; Electrons; Energy; Insulators; Material properties; Memristors; mott insulators; Neural networks; Neuromorphic computing; neuromorphics; Neurons; Phase transitions
• ISSN: 2751-1200; 2751-1200
• DOI: 10.1002/apxr.202400129

Neuromorphic computing has emerged as a key solution for overcoming the challenge of von Neumann bottleneck, offering a pathway to more efficient and biologically inspired computing systems. A crucial advancement in this field is the utilization of Mott insulators, where the metal‐insulator transition (MIT) elicits substantial alterations in material properties, infusing renewed vigor into the progression of neuromorphic systems. This review begins by explaining the MIT mechanisms and the preparation processes of Mott insulators, followed by an introduction of Mott memristors and memristor arrays, showing different types of multidimensional integration styles. The applications of Mott memristor in neuromorphic computing are then discussed, which include artificial synapse designs and various artificial neuron architectures for sensory recognition and logic calculation. Finally, facing challenges and potential future directions are outlined for utilizing Mott memristors in the advancement of neuromorphic computing. This review aims to provide a thorough understanding of the latest advancements in Mott memristors and their applications, offering a comprehensive reference for further research in related areas, and contributing to bridging the gap between traditional silicon‐based electronics and future brain‐inspired architectures. This review offers a comprehensive analysis of Mott memristors, including the mechanisms and driving methods of Mott transitions, fabrication methods and enhancements for Mott memristor films, strategies for integrating Mott memristor arrays, and applications in artificial synapses and diverse types of artificial neurons, aims to provide a thorough understanding of the latest advancements in Mott memristors and their applications.