神经形态工程学
记忆电阻器
MXenes公司
材料科学
纳米技术
工程物理
计算机科学
光电子学
计算机体系结构
人工智能
人工神经网络
工程类
电子工程
作者
Xiaojuan Lian,Yuelin Shi,Shiyu Li,Bingxin Ding,Chenfei Hua,Lei Wang
标识
DOI:10.1080/00107514.2022.2160542
摘要
MXenes are materials with a few thick layers of transition metal carbides, nitrides, and carbonitrides and have received considerable attention because of their widespread application in energy storage in photonic diodes. In addition, nanoscale devices that include either an MXene layer only or a combination of MXene and other functional layers were found to exhibit multiple non-volatile resistance states when subjected to an electrical stimulus. Therefore, the MXene layer has most recently shown a strong liaison with the concept of the well-known memristor, whereby a variety of MXene-based memristors have been developed for emerging neuromorphic applications. Despite the current prosperity, the physics behind which MXene-based devices enable memristive behaviour remains vague, and the advantages and disadvantages of these reported MXene-based memristors in association with their performance comparisons are missing. To address these issues, we first presented different types of MXene-based memristors according to the constitutions of their active layers, and the possible physical mechanisms that govern the memristive behaviours of these memristors were analysed. The promising applications of the reported MXene-based memristors, particularly in the field of neuromorphic intelligence, are subsequently discussed. Finally, the advantages and disadvantages of MXene-based memristors and their practical prospects are envisaged.
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