材料科学
神经形态工程学
记忆电阻器
晶界
薄脆饼
钼
横杆开关
微晶
电阻随机存取存储器
纳米技术
光电子学
电压
电子工程
电气工程
人工神经网络
计算机科学
复合材料
微观结构
人工智能
工程类
冶金
作者
Jihoon Yang,Aram Yoon,Donghyun Lee,Seunguk Song,IL John Jung,Dong‐Hyeok Lim,Hongsik Jeong,Zonghoon Lee,Mario Lanza,Soon‐Yong Kwon
标识
DOI:10.1002/adfm.202309455
摘要
Abstract 2D materials have attracted attention in the field of neuromorphic computing applications, demonstrating the potential for their use in low‐power synaptic devices at the atomic scale. However, synthetic 2D materials contain randomly distributed intrinsic defects and exhibit a stochasitc forming process, which results in variability of switching voltages, times, and stat resistances, as well as poor synaptic plasticity. Here, this work reports the wafer‐scale synthesis of highly polycrystalline semiconducting 2H‐phase molybdenum ditelluride (2H‐MoTe 2 ) and its use for fabricating crossbar arrays of memristors. The 2H‐MoTe 2 films contain small grains (≈30 nm) separated by vertically aligned grain boundaries (GBs). These aligned GBs provide confined diffusion paths for metal ions filtration (from the electrodes), resulting in reliable resistive switching (RS) due to conductive filament confinement. As a result, the polycrystalline 2H‐MoTe 2 memristors shows improvement in the RS uniformity and stable multilevel resistance states, small cycle‐to‐cycle variation (<8.3%), high yield (>83.7%), and long retention times (>10 4 s). Finally, 2H‐MoTe 2 memristors show linear analog synaptic plasticity under more than 2500 repeatable pulses and a simulation‐based learning accuracy of 96.05% for image classification, which is the first analog synapse behavior reported for 2D MoTe 2 based memristors.
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