材料科学
重置(财务)
记忆电阻器
神经形态工程学
横杆开关
光电子学
晶界
电压
电阻随机存取存储器
电子工程
复合材料
电气工程
计算机科学
微观结构
人工神经网络
工程类
机器学习
金融经济学
经济
作者
Yesheng Li,Leyi Loh,Sifan Li,Li Chen,Bochang Li,Michel Bosman,Kah‐Wee Ang
标识
DOI:10.1038/s41928-021-00573-1
摘要
The implementation of memristive synapses in neuromorphic computing is hindered by the limited reproducibility and high energy consumption of the switching behaviour of the devices. Typical filament-type memristors suffer, in particular, from temporal and spatial variation in the set voltage and resistance states due to stochastic filament formation. Here, we report memristors based on two-dimensional pentagonal palladium diselenide (PdSe2) that can exhibit anomalous resistive switching behaviour with two interchangeable reset modes: total reset and quasi-reset. Heterophase grain boundaries are formed in the PdSe2 via local phase transitions induced by electron-beam irradiation, which leads to residual filaments along the grain boundaries that can guide the formation of conductive filaments. When operated in the quasi-reset mode, the memristors show a sixfold improvement in switching variation compared with devices operating in the total-reset mode, as well as a low set voltage (0.6 V), long retention times and programmable multilevel resistance states. We also show that the devices can emulate synaptic plasticity and that multipattern memorization can be implemented using a crossbar array architecture.
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