Results 41 to 50 of about 16,611 (244)
Nanomaterials, 2023 In this study, the bipolar switching properties and electrical conduction behaviors of the ITO thin films RRAM devices were investigated. For the transparent RRAM devices structure, indium tin oxide thin films were deposited by using the RF magnetron ...
Kai-Huang Chen +3 more
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Influence of the Cu-Te composition and microstructure on the resistive switching of Cu-Te/Al(2)O(3)/Si cells [PDF]
, 2011 In this letter, we explore the influence of the Cu(x)Te(1-x) layer composition (0.2 0.7 leads to large reset power, similar to pure-Cu electrodes, x < 0.3 results in volatile forming properties.
Aratani K. +10 more
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Advances of RRAM Devices: Resistive Switching Mechanisms, Materials and Bionic Synaptic Application
Nanomaterials, 2020 Resistive random access memory (RRAM) devices are receiving increasing extensive attention due to their enhanced properties such as fast operation speed, simple device structure, low power consumption, good scalability potential and so on, and are ...
Zongjie Shen +7 more
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Materials Research Express, 2022 We fabricated organic resistive random-access memory (RRAM) devices using a low-cost solution-process method. All the processes were performed at temperatures below 135 °C under ambient atmospheric conditions.
Joong Hyeon Park +4 more
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A RRAM-Based True Random Number Generator with 2T1R Architecture for Hardware Security Applications
Micromachines, 2023 Resistance random access memory (RRAM) based true random number generator (TRNG) has great potential to be applied to hardware security owing to its intrinsic switching variability. Especially the high resistance state (HRS) variation is usually taken as
Bo Peng +3 more
doaj +1 more source
An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses
, 2017 Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable Resistive RAM or RRAM array serving as synaptic weights and neuronal drivers in ...
Ganguly, Udayan, Shukla, Aditya
core +1 more source
First evidence of resistive switching in polycrystalline GaV4S8 thin layers [PDF]
, 2011 Recently a new type of reversible and non-volatile resistive switching was discovered in single crystals of Mott insulators AM4X8 (A = Ga, Ge; M = V, Nb, Ta; X = S, Se).
Beck +19 more
core +3 more sources
Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
Frontiers in Neuroscience, 2019 Spiking Neural Networks (SNNs) offer great potential to promote both the performance and efficiency of real-world computing systems, considering the biological plausibility of SNNs.
Yilong Guo +3 more
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Hardware implementation of RRAM based binarized neural networks
APL Materials, 2019 Resistive switching random access memory (RRAM) has been explored to accelerate the computation of neural networks. RRAM with linear conductance modulation is usually required for the efficient weight updating during the online training according to the ...
Peng Huang +7 more
doaj +1 more source
Nanoscale Research Letters, 2020 In this manuscript, recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential ...
Furqan Zahoor +2 more
doaj +1 more source