神经形态工程学
记忆电阻器
电阻随机存取存储器
材料科学
锡
光电子学
记忆晶体管
电压
重置(财务)
非易失性存储器
突触
纳米技术
计算机科学
电子工程
电气工程
人工神经网络
工程类
神经科学
人工智能
经济
金融经济学
生物
冶金
作者
Muhammad Ismail,Chandreswar Mahata,Sungjun Kim
标识
DOI:10.1016/j.jallcom.2021.162141
摘要
Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges as a promising paradigm to build power-efficient computing hardware for high density data storage memory and artificial intelligence. Nevertheless, the current nonvolatile memory still endures from reliability and variability of the memristors. In this work, Pt/Al2O3/HfO2/HfAlOx/TiN multilayer memristor was prepared by using atomic layer deposition (ALD) to examine the well-regulated multilevel RS and neuromorphic properties. The memristor was found to demonstrate admirable RS properties, including forming-free, low operating voltage (Set/Reset), high switching ratio (>100), multi-level retention time (104 s), and good durability (1000 switching cycles). Furthermore, seven and four resistance states can be accomplished by modulating CC through set-operation and stop-voltage during the reset-operation. By modulating the multi-level resistance state, the electronic synapse can simulate synaptic plasticity, such as potentiation/depression, paired pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). Results show that a multilayer memristor has potential in the application of multilevel data storage memory and bionic portable electronic devices.
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