MXene-Based Flexible Memory and Neuromorphic Devices.

Abstract

As the age of the Internet of Things (IoTs) unfolds, along with the rapid advancement of artificial intelligence (AI), traditional von Neumann-based computing systems encounter significant challenges in handling vast amounts of data storage and processing. Bioinspired neuromorphic computing strategies offer a promising solution, characterized by features of in-memory computing, massively parallel processing, and event-driven operations. Compared to traditional rigid silicon-based devices, flexible neuromorphic devices are lightweight, thin, and highly stretchable, garnering considerable attention. Among the materials utilized in these devices, transition metal carbides/nitrides (MXenes) are particularly noteworthy materials with their excellent flexibility, exceptional conductivity, and hydrophilicity, which confer remarkable properties upon these devices. Herein, a comprehensive discussion is provided on the applications of MXenes in flexible memory and neuromorphic devices. This review covers the basic principles and device structures of memory and neuromorphic devices, common parameters and emerging materials of flexible devices, as well as the common synthesis, functionalization methods, and distinct properties of MXenes. The remaining challenges and future opportunities of MXenes in relevant devices are also presented. This review can serve as a valuable reference and lay a cornerstone for the practical and feasible implementation of MXenes in flexible memory and neuromorphic technologies.