Results 1 to 10 of about 13,297 (272)
Nanoscale Insights into the Dynamics of Conductive Filament Growth/Dissolution in 2D Material‐Based Memristors [PDF]
Advanced Science2D materials have drawn widespread attention as promising candidates for electrochemical metallization (ECM) memristors. However, some critical questions related to the resistance switching (RS) behaviors of 2D material‐based ECM memristors, such as the ...
Chen Li +8 more
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Gallium Oxide Memristors: A Review of Resistive Switching Devices and Emerging Applications [PDF]
NanomaterialsGallium oxide (Ga2O3)-based memristors are gaining traction as promising candidates for next-generation electronic devices toward in-memory computing, leveraging the unique properties of Ga2O3, such as its wide bandgap, high thermodynamic stability, and ...
Alfred Moore, Yaonan Hou, Lijie Li
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Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023 An ideal memristor that has been theoretically predicted almost a half-century ago is a nonlinear power dissipating circuit element. Nowadays, memristive systems such as thin films which are not ideal memristors are also called memristors.
Ertuğrul Karakulak +2 more
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Filament-free memristors for computing
Nano Convergence, 2023 Memristors have attracted increasing attention due to their tremendous potential to accelerate data-centric computing systems. The dynamic reconfiguration of memristive devices in response to external electrical stimuli can provide highly desirable novel
Sanghyeon Choi +3 more
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Chitosan-Based Flexible Memristors with Embedded Carbon Nanotubes for Neuromorphic Electronics
Micromachines, 2021 In this study, we propose high-performance chitosan-based flexible memristors with embedded single-walled carbon nanotubes (SWCNTs) for neuromorphic electronics.
Jin-Gi Min, Won-Ju Cho
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Metal–Organic Frameworks–Based Memristors: Materials, Devices, and Applications
Molecules, 2022 Facing the explosive growth of data, a number of new micro-nano devices with simple structure, low power consumption, and size scalability have emerged in recent years, such as neuromorphic computing based on memristor.
Fan Shu +4 more
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Electrolyte-Dependent Modification of Resistive Switching in Anodic Hafnia
Nanomaterials, 2021 Anodic HfO2 memristors grown in phosphate, borate, or citrate electrolytes and formed on sputtered Hf with Pt top electrodes are characterized at fundamental and device levels.
Ivana Zrinski +7 more
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Advanced Electronic Materials, 2023 For Schottky barrier‐modulated memristors based on 2D semiconductors, it has, to date, not been possible to achieve control over defect type and concentration as the measured switching characteristics vary considerably even under similar fabrication ...
Hangbo Zhou +5 more
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Learning to Approximate Functions Using Nb-Doped SrTiO3 Memristors
Frontiers in Neuroscience, 2021 Memristors have attracted interest as neuromorphic computation elements because they show promise in enabling efficient hardware implementations of artificial neurons and synapses.
Thomas F. Tiotto +9 more
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Solving mazes with memristors: a massively-parallel approach [PDF]
, 2011 Solving mazes is not just a fun pastime. Mazes are prototype models in graph theory, topology, robotics, traffic optimization, psychology, and in many other areas of science and technology.
K. K. Likharev +4 more
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