Asset Details
Do you wish to reserve the book?
Applications of MXenes in Neuromorphic Computing and Memristors: From Material Synthesis and Physical Mechanisms to Integrated Sensing, Memory, and Computation
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Applications of MXenes in Neuromorphic Computing and Memristors: From Material Synthesis and Physical Mechanisms to Integrated Sensing, Memory, and Computation
Do you wish to request the book?
Applications of MXenes in Neuromorphic Computing and Memristors: From Material Synthesis and Physical Mechanisms to Integrated Sensing, Memory, and Computation
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Applications of MXenes in Neuromorphic Computing and Memristors: From Material Synthesis and Physical Mechanisms to Integrated Sensing, Memory, and Computation
2026
Overview
In the post-Moore’s Law era, conventional Von Neumann architectures face critical limitations, such as the “memory wall” and excessive power consumption, particularly when processing unstructured data. Neuromorphic computing, inspired by the human brain, offers a promising solution through parallel processing and adaptive learning. Among the candidates for artificial synapses, memristors based on two-dimensional MXenes (specifically Ti3C2Tx) have attracted significant attention due to their unique layered structure, high metallic conductivity, and tunable physicochemical properties. This review provides a comprehensive analysis of MXene-based memristors, from material synthesis to system-level applications. We examine how different synthesis strategies, including etching methods, directly influence device performance and elucidate the underlying resistive switching mechanisms driven by ion migration, valence change, and interfacial processes. Furthermore, the review demonstrates the efficacy of MXenes in emulating biological synaptic functions—such as spike-timing-dependent plasticity (STDP) and long-term potentiation/depression (LTP/LTD)—and their application in tasks like handwritten digit recognition. Finally, we highlight emerging frontiers in flexible electronics and in-sensor computing, offering insights into the future trajectory of integrated sensing, memory, and computation.
