Please use this identifier to cite or link to this item: https://doi.org/10.1002/advs.201800096
Title: Atomic Scale Modulation of Self-Rectifying Resistive Switching by Interfacial Defects
Authors: Wu, X
Yu, K
Cha, D
Bosman, M 
Raghavan, N
Zhang, X
Li, K
Liu, Q
Sun, L
Pey, K
Keywords: Electrodes
Hafnium oxides
High resolution transmission electron microscopy
In situ processing
Oxygen vacancies
Silicon
Transmission electron microscopy
Computational performance
Hafnium dioxide
In-situ transmission electron microscopies
Interfacial defect
Resistive switching
Resistive switching devices
Resistive switching memory
Spatial and temporal correlation
Switching
Issue Date: 2018
Citation: Wu, X, Yu, K, Cha, D, Bosman, M, Raghavan, N, Zhang, X, Li, K, Liu, Q, Sun, L, Pey, K (2018). Atomic Scale Modulation of Self-Rectifying Resistive Switching by Interfacial Defects. Advanced Science 5 (6) : 1800096. ScholarBank@NUS Repository. https://doi.org/10.1002/advs.201800096
Rights: Attribution 4.0 International
Abstract: Higher memory density and faster computational performance of resistive switching cells require reliable array-accessible architecture. However, selecting a designated cell within a crossbar array without interference from sneak path currents through neighboring cells is a general problem. Here, a highly doped n++ Si as the bottom electrode with Ni-electrode/HfOx/SiO2 asymmetric self-rectifying resistive switching device is fabricated. The interfacial defects in the HfOx/SiO2 junction and n++ Si substrate result in the reproducible rectifying behavior. In situ transmission electron microscopy is used to quantitatively study the properties of the morphology, chemistry, and dynamic nucleation–dissolution evolution of the chains of defects at the atomic scale. The spatial and temporal correlation between the concentration of oxygen vacancies and Ni-rich conductive filament modifies the resistive switching effect. This study has important implications at the array-level performance of high density resistive switching memories. © 2018 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Source Title: Advanced Science
URI: https://scholarbank.nus.edu.sg/handle/10635/182079
ISSN: 21983844
DOI: 10.1002/advs.201800096
Rights: Attribution 4.0 International
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