MoTe2-based low energy consumption artificial synapse for neuromorphic behavior and decimal arithmetic

神经形态工程学 记忆电阻器 突触 长时程增强 材料科学 突触重量 光电子学 乘法(音乐) 计算机科学 人工神经网络 神经科学 物理 电子工程 化学 人工智能 工程类 受体 生物 生物化学 声学
作者
T. Yu,Z. Zhao,Helong Jiang,Zhengjin Weng,Yong Fang,Yanan Yu,Lei Wei,Suhaidi Bin Shafe,Mohd Nazim Mohtar
出处
期刊:Materials Today Chemistry [Elsevier BV]
卷期号:27: 101268-101268 被引量:10
标识
DOI:10.1016/j.mtchem.2022.101268
摘要

Two-dimensional material-based memristors have shown attractive research prospects as brain-like devices for neuromorphic computing. Among them, transition metal dichalcogenides–based memristors have proved to be one of the most promising competitors. In this work, a two-dimensional memristor based on MoTe2 nanosheets was fabricated and demonstrated. The experimental results illustrate that the two-terminal synaptic based on the Ag/MoTe2/ITO structure exhibits stable bipolar and non-volatile resistive switching characteristics attributed to the controllable formation and rupturing of silver conductive filaments. The device can be successively modulated by a pulse train with a minimum pulse width of 40 ns. More interestingly, the energy consumption of the device to complete one write event is only 74.2 pJ. In addition, biological synaptic behaviors, such as excitatory postsynaptic current gain properties, long-term potentiation (LTP)/long-term depression, spike-timing-dependent- plasticity, short-term plasticity, long-term potentiation (LTP), paired-pulse facilitation, post-tetanic potentiation, and learning-experimental behaviors were mimicked faithfully. Finally, the decimal arithmetic application was introduced to the device, and it is confirmed that addition and multiplication functions can be performed. Therefore, the artificial synapse based on MoTe2 nanosheets not only exhibits the stable non-volatile resistive switching behavior but also facilitates the development of low-energy consumption neuromorphic computing chips based on transition metal dichalcogenides.
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