Results 21 to 30 of about 9,687 (293)
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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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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Perceptrons from memristors [PDF]
Neural Networks, 2020 Added new result on universality of memristors, minor changes in the introduction and algorithm, references ...
Francisco Silva +4 more
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A ferroelectric memristor [PDF]
Nature Materials, 2012 Memristors are continuously tunable resistors that emulate synapses. Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of matter, but the mechanism remains controversial. Purely electronic memristors have recently emerged based on well-established physical phenomena with albeit modest resistance changes.
Chanthbouala, André +12 more
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Conductance quantization in h-BN memristors
, 2023 Memristive devices made of multilayer hexagonal boron nitride are attracting much attention for information storage, computation, encryption, and communication. Generating multilevel operation in these memristors would be an important added value for the
Cantudo, A. +11 more
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Bio‐Voltage Memristors: From Physical Mechanisms to Neuromorphic Interfaces
Advanced Electronic Materials, 2023 With the rapid development of emerging artificial intelligence technology, brain–computer interfaces are gradually moving from science fiction to reality, which has broad application prospects in the field of intelligent robots.
Saisai Wang +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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Scientific Reports, 2016 AbstractTechnology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design ...
Pfeiffer, P +4 more
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Plant Signaling & Behavior, 2014 We investigated electrical circuitry of the Venus flytrap, Mimosa pudica and Aloe vera. The goal was to discover if these plants might have a new electrical component--a resistor with memory. This element was postulated recently and the researchers were looking for its presence in different systems.
Alexander G, Volkov +5 more
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Lateral 2D TMDC Memristors – Experiment and Modeling
, 2022 Memristors are promising devices for future neuromorphic computing applications. Typically, memristors consist of a vertical metal-insulator-metal stack.
Ziegler, Martin +4 more
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