2017
DOI: 10.1007/s10832-017-0070-5
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SiO2 based conductive bridging random access memory

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Cited by 40 publications
(30 citation statements)
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“…The resistance changes of interest include both volatile and non-volatile behavior, as well as combinations of these responses [4][5][6]. Non-volatile resistive switching is observed in a broad range of transition metal oxides and the physical mechanisms responsible are reasonably well understood [7][8][9]. In contrast, reliable volatile switching is observed in far fewer oxides [10][11][12] and the understanding is less well advanced.…”
Section: Introductionmentioning
confidence: 99%
“…The resistance changes of interest include both volatile and non-volatile behavior, as well as combinations of these responses [4][5][6]. Non-volatile resistive switching is observed in a broad range of transition metal oxides and the physical mechanisms responsible are reasonably well understood [7][8][9]. In contrast, reliable volatile switching is observed in far fewer oxides [10][11][12] and the understanding is less well advanced.…”
Section: Introductionmentioning
confidence: 99%
“…Here we investigate the low-frequency noise properties of the most commonly exploited Ag nanofilaments [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] by utilizing resistive switching devices operated in the metallic regime. The noise power spectral densities acquired in the presence of the surrounding Ag 2 S and AgI solid electrolytes are compared.…”
mentioning
confidence: 99%
“…Special emphasis on conductive atomic force microscopy (c-AFM) as a tool to capture resistive switching processes in oxides is debated by Lanza, Celano and Miao [6]. Turning to understanding and designing oxide architectures Chen, Tappertzhofen, Barnaby and Kozicki explore the virtues of SiO 2 based conductive bridging random access memories and discuss insight into their memory array and neuromorphic computing applications [7]. Lian, Wang, Yan, Yang and Miao newly propose a criteria for selecting high-performance memristor materials based on the statistical results and the temperature evolution of conductive filaments with examples of TaO x , HfO 2 and NiO as resistive switching materials [8].…”
Section: Emulation Of Neural Network By Redox-based Resistivementioning
confidence: 99%