记忆电阻器
神经形态工程学
铁电性
材料科学
电导
光电子学
非易失性存储器
记忆晶体管
电阻随机存取存储器
纳米技术
电压
计算机科学
凝聚态物理
电气工程
物理
电介质
人工神经网络
人工智能
工程类
作者
Vitalii Mikheev,Anastasia Chouprik,Yu. Yu. Lebedinskiǐ,Sergei Zarubin,Yury Matveyev,Ekaterina Kondratyuk,Maxim G. Kozodaev,Andrey M. Markeev,A. Zenkevich,Dmitrii Negrov
标识
DOI:10.1021/acsami.9b08189
摘要
While the conductance of a first-order memristor is defined entirely by the external stimuli, in the second-order memristor it is governed by the both the external stimuli and its instant internal state. As a result, the dynamics of such devices allows to naturally emulate the temporal behavior of biological synapses, which encodes the spike timing information in synaptic weights. Here, we demonstrate a new type of second-order memristor functionality in the ferroelectric HfO2-based tunnel junction on silicon. The continuous change of conductance in the p+-Si/Hf0.5Zr0.5O2/TiN tunnel junction is achieved via the gradual switching of polarization in ferroelectric domains of polycrystalline Hf0.5Zr0.5O2 layer, whereas the combined dynamics of the built-in electric field and charge trapping/detrapping at the defect states at the bottom Si interface defines the temporal behavior of the memristor device, similar to synapses in biological systems. The implemented ferroelectric second-order memristor exhibits various synaptic functionalities, such as paired-pulse potentiation/depression and spike-rate-dependent plasticity, and can serve as a building block for the development of neuromorphic computing architectures.
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