Literature DB >> 31066210

A New Memristor with 2D Ti3 C2 Tx MXene Flakes as an Artificial Bio-Synapse.

Xiaobing Yan1,2, Kaiyang Wang1, Jianhui Zhao1, Zhenyu Zhou1, Hong Wang1, Jingjuan Wang1, Lei Zhang1, Xiaoyan Li1, Zuoao Xiao1, Qianlong Zhao1, Yifei Pei1, Gong Wang1, Cuiya Qin1, Hui Li1, Jianzhong Lou1, Qi Liu3, Peng Zhou4.   

Abstract

Two-dimensional (2D) materials have attracted extensive research interest in academia due to their excellent electrochemical properties and broad application prospects. Among them, 2D transition metal carbides (Ti3 C2 Tx ) show semiconductor characteristics and are studied widely. However, there are few academic reports on the use of 2D MXene materials as memristors. In this work, reported is a memristor based on MXene Ti3 C2 Tx flakes. After electroforming, Al/Ti3 C2 Tx /Pt devices exhibit repeatable resistive switching (RS) behavior. More interestingly, the resistance of this device can be continuously modulated under the pulse sequence with 10 ns pulse width, and the pulse width of 10 ns is much lower than that in other reported work. Moreover, on the nanosecond scale, the transition from short-term plasticity to long-term plasticity is achieved. These two properties indicate that this device is favorable for ultrafast biological synapse applications and high-efficiency training of neural networks. Through the exploration of the microstructure, Ti vacancies and partial oxidation are proposed as the origins of the physical mechanism of RS behavior. This work reveals that 2D MXene Ti3 C2 Tx flakes have excellent potential for use in memristor devices, which may open the door for more functions and applications.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  MXene (Ti3C2Tx); Ti and O vacancies; memristors; synapses

Year:  2019        PMID: 31066210     DOI: 10.1002/smll.201900107

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  2 in total

1.  Analog-digital hybrid computing with SnS2 memtransistor for low-powered sensor fusion.

Authors:  Shania Rehman; Muhammad Farooq Khan; Hee-Dong Kim; Sungho Kim
Journal:  Nat Commun       Date:  2022-05-19       Impact factor: 17.694

2.  Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing.

Authors:  Zhongrong Wang; Wei Wang; Pan Liu; Gongjie Liu; Jiahang Li; Jianhui Zhao; Zhenyu Zhou; Jingjuan Wang; Yifei Pei; Zhen Zhao; Jiaxin Li; Lei Wang; Zixuan Jian; Yichao Wang; Jianxin Guo; Xiaobing Yan
Journal:  Research (Wash D C)       Date:  2022-09-13
  2 in total

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