Results 31 to 40 of about 13,015 (262)
Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications
Advanced Intelligent Systems, 2020 Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs), neuromorphic computing and hardware security are becoming more and more important. The volatile memristors, which feature spontaneous decay of device conductance,
Ruopeng Wang +8 more
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Materials & Design, 2023 The emulation of the biological synapses is essential for brain-inspired computing which is expected to overcome the traditional von Neumann bottleneck.
Wanxuan Xie +6 more
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Asymptotic behavior of memristive circuits
, 2019 The interest in memristors has risen due to their possible application both as memory units and as computational devices in combination with CMOS. This is in part due to their nonlinear dynamics, and a strong dependence on the circuit topology.
Caravelli, Francesco
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A Survey of Memristive Threshold Logic Circuits
, 2016 In this paper, we review the different memristive threshold logic (MTL) circuits that are inspired from the synaptic action of flow of neurotransmitters in the biological brain.
James, Alex Pappachen +2 more
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Physical Simulation of Si-Based Resistive Random-Access Memory Devices [PDF]
, 2015 We present a newly-developed three-dimensional (3D) physical simulator suitable for the study of resistive random-access memory (RRAM) devices. We explore the switching behavior of Si-rich silica (SiOx) RRAM structures, whose operation has been ...
Asenov, Asen +3 more
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Radiative Thermal Memristor [PDF]
Physical Review Letters, 2019 Based on the thermal hysteresis of a phase change material exchanging radiative heat with a phase invariable one, we propose a radiative thermal memristor characterized by a Lissajous curve between their exchanged heat flux and temperature difference periodically modulated in time.
Ordonez-Miranda, Jose +4 more
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Science and Technology of Advanced Materials, 2021 The state-of-the-art artificial intelligence technologies mainly rely on deep learning algorithms based on conventional computers with classical von Neumann computing architectures, where the memory and processing units are separated resulting in an ...
Jingrui Wang, Xia Zhuge, Fei Zhuge
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Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors
, 2014 Despite all the progress of semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex makes the hardware implementation of neuromorphic networks with a comparable number of devices exceptionally challenging.
Adam, Gina +5 more
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Experience on material implication computing with an electromechanical memristor emulator [PDF]
, 2016 Memristors are being considered as a promising emerging device able to introduce new paradigms in both data storage and computing. In this paper the authors introduce the concept of a quasi-ideal experimental device that emulates the fundamental behavior
Escudero López, Manuel +5 more
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Research Progress in Dielectric-Layer Material Systems of Memristors
InorganicsWith the rapid growth of data storage, traditional von Neumann architectures and silicon-based storage computing technologies will reach their limits and fail to meet the storage requirements of ultra-small size, ultra-high density, and memory computing.
Chunxia Wang +5 more
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