Results 41 to 50 of about 13,298 (199)
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
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
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
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Neuromorphic Computing and Engineering, 2023 The long-time retention issue of resistive random access memory (RRAM) brings a great challenge in the performance maintenance of large-scale RRAM-based computation-in-memory (CIM) systems.
Yibei Zhang +9 more
doaj +1 more source
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
doaj +1 more source
Nanomaterials, 2022 The SrZrTiO3 (SZT) thin film prepared by sol-gel process for the insulator of resistive random-access memory (RRAM) is presented. Al was embedded in the SZT thin film to enhance the switching characteristics.
Ke-Jing Lee +4 more
doaj +1 more source
Simulations of RRAM-Based SSDs
, 2017 In this chapter SSDExplorer, a fine-grained SSD simulator, is used to evaluate the possible impact of emerging non-volatile memories, such as Resistive RAM (RRAM), on future SSD architectures. Does it make sense to fully replace NANDs with one of the emerging memories? What’s the benefit?
Zuolo, Lorenzo +3 more
openaire +2 more sources
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Advanced Functional Materials, EarlyView.Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Ozone Treatment Improved the Resistive Switching Uniformity of HfAlO2 Based RRAM Devices
Advances in Condensed Matter Physics, 2015 HfAlO2 based resistive random access memory (RRAM) devices were fabricated using atomic layer deposition by modulating deposition cycles for HfO2 and Al2O3.
Lifeng Liu +4 more
doaj +1 more source
A Study of the Variability in Contact Resistive Random Access Memory by Stochastic Vacancy Model
Nanoscale Research Letters, 2018 Variability in resistive random access memory cell has been one of the critical challenges for the development of high-density RRAM arrays. While the sources of variability during resistive switching vary for different transition metal oxide films, the ...
Yun-Feng Kao +3 more
doaj +1 more source