The traditional von Neumann computing architecture has relatively-low information processing speed and high power consumption, making it difficult to meet the computing needs of artificial intelligence (AI). Neuromorphic computing systems, with massively parallel computing capability and low power consumption, have been considered as an ideal option for data storage and AI computing in the future. Memristor, as the fourth basic electronic component besides resistance, capacitance and inductance, is one of the most competitive candidates for neuromorphic computing systems benefiting from the simple structure, continuously adjustable conductivity state, ultra-low power consumption, high switching speed and compatibility with existing CMOS technology. The memristors with applying MXene-based hybrids have attracted significant attention in recent years. Here, we introduce the latest progress in the synthesis of MXene-based hybrids and summarize their potential applications in memristor devices and neuromorphological intelligence. We explore the development trend of memristors constructed by combining MXenes with other functional materials and emphatically discuss the potential mechanism of MXenes-based memristor devices. Finally, the future prospects and directions of MXene-based memristors are briefly described.

MXenes have received extensive attention from scholars due to their unique layered structure, significant electrical conductivity, and excellent mechanical properties. In addition to their pristine forms, they could also be incorporated with other components for attaining hybrids and nanocomposites, accompanying with amplified functionalities. It has been widely used in lithium batteries, supercapacitors, electromagnetic shielding, tumor therapy, biosensors, photocatalysis, and other fields, and has shown great application potential in energy conversion and storage. The purpose of this article is to encyclopaedically overview the latest progress in synthesis and characterization of MXenes, while their potential applications in energy conversation such as water splitting and solar cells, as well as in energy storage such as Li-ion batteries, supercapacitors, and hydrogen energy will be comprehensively elaborated. Development opportunities and challenges are summarized.