Intelligent flexible memristors for artificial synapses and neuromorphic computing

作者：Qing Mao, Zhenqian Zhu, Jialin Meng, Tianyu Wang · 发表于：FlexMat. · 年份：2025 · DOI：10.1002/flm2.45 · 被引用次数：29 · 研究领域：Advanced Memory and Neural Computing、Photoreceptor and optogenetics research、Neuroscience and Neural Engineering

Abstract Memristors have garnered significant attention in the field of non‐volatile memory devices due to their excellent characteristics such as miniaturization, low power consumption, high performance, and non‐volatility. Particularly with the development of flexible electronics in recent years, flexible memristors have shown immense potential in areas such as neuromorphic models and memristor‐based neural networks, thanks to their unique structural features and superior electrical properties. This paper systematically reviews the working principles and material systems of memristors, followed by a summary of the current research progress on flexible memristors. It also concludes with an overview of the applications of flexible memristors in frontier fields such as neural networks, image recognition, and wearable sensing, while also briefly analyzes the challenges faced in the development of flexible memristors and their future prospects. It is believed that this paper will provide valuable guidance for the future applications of flexible memristors in more frontier fields.