Literature DB >> 33885544

A synaptic memristor based on two-dimensional layered WSe2 nanosheets with short- and long-term plasticity.

Songwen Luo1, Kanghong Liao, Peixian Lei, Ting Jiang, Siyi Chen, Qin Xie, Wenbo Luo, Wen Huang, Shuoguo Yuan, Wenjing Jie, Jianhua Hao.   

Abstract

Neural synapses with diverse synaptic functions of short- and long-term plasticity are highly desired for developing complex neuromorphic systems. A memristor with its two terminals serving as pre- and post-neurons, respectively, can emulate two neuronal-based synaptic functions. In this work, multilayer two-dimensional (2D) layered WSe2 nanosheets are synthesized by a salt-assisted chemical vapor deposition (CVD) method. Two-terminal memristors with a planar structure are fabricated based on the CVD-grown triangular WSe2 nanosheets. The fabricated devices exhibit typical bipolar nonvolatile resistive switching behaviors with a high current ON/OFF ratio of up to 6 × 103 and good retention and endurance properties, suggesting good stability and reliability of the WSe2-based memristors. Furthermore, the developed memristors demonstrate synaptic functions of short- and long-term plasticity (STP and LTP), as well as a transition from STP to LTP by applying consecutive pulse voltages. Moreover, the WSe2-based memristors exhibits biological synaptic functions of long-term potentiation and depression, and paired-pulse facilitation. Thus, our 2D WSe2 nanosheet based memristors not only exhibit stable and reliable nonvolatile resistive switching behaviors, but also show potential applications in mimicking biological synapses.

Entities:  

Year:  2021        PMID: 33885544     DOI: 10.1039/d0nr08725d

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  2 in total

1.  Improved Resistive Switching with Low-Power Synaptic Behaviors of ZnO/Al2O3 Bilayer Structure.

Authors:  Chandreswar Mahata; Jongmin Park; Muhammad Ismail; Dae Hwan Kim; Sungjun Kim
Journal:  Materials (Basel)       Date:  2022-09-26       Impact factor: 3.748

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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